Tag: code generation

Solid is a tool for quickly building websites. It can help users quickly build practical websites with artificial intelligence functions. Solid stands out for its ability to generate real, usable code that is suitable for development needs in different fields.

Snapmark is an AI-assisted tool that uses precise DOM information and natural language description to help AI fully understand the user's UI modification intentions and generate code that meets expectations. Its key benefits include precise understanding of UI modifications, accurate code generation, and continuously optimized team collaboration capabilities.

Layout is an AI-powered platform that helps founders and developers turn ideas into instant software prototypes. It greatly simplifies the software development process by generating clean code, UI components and project structures, saving users time and energy. The main advantages of Layout include rapid prototyping, automatic code generation, multiple application scenario coverage, powerful project structure, etc. The product is positioned to help startups and development teams quickly verify and demonstrate ideas, and accelerate product development and launch.

Kiro is an advanced AI integrated development environment (IDE) that provides support at all stages of software development. It uses multi-modal input, understands context, and has complete lifecycle control as if you were working with a senior developer. Kiro's specification-driven development approach allows users to quickly move from concept to working prototype, significantly improving development efficiency and quality.

PageAI is a mini creative studio that plans, designs and writes clean code for your website with an artificial intelligence agent. It designs and generates production-grade code for your website in minutes from simple prompts.

Basin is the first reliable MCP tool designed for AI code editors, stopping the illusion of code generation by instantly identifying and flagging issues, allowing you to code easily and efficiently. Basin is platform-agnostic and works with any AI code editor that supports agent MCP code generation. Basin is currently in an invitation-only closed beta phase.

Tencent Cloud Code Assistant CodeBuddy is an auxiliary coding tool based on the large mixed code model that provides technical dialogue, code completion, code diagnosis and optimization capabilities. It helps developers generate high-quality code, solve technical problems, and improve coding efficiency. CodeBuddy is suitable for all types of developers, especially professionals who need efficient programming and code understanding. This tool supports multiple programming languages, is suitable for multiple IDEs, and has a wide range of application scenarios. The product is positioned to improve programming efficiency, reduce repetitive work, and improve code quality. The product provides free use options.

Seed-Coder is a series of open source code large-scale language models launched by the ByteDance Seed team. It includes basic, instruction and inference models. It aims to autonomously manage code training data with minimal human investment, thereby significantly improving programming capabilities. This model has superior performance among similar open source models and is suitable for various coding tasks. It is positioned to promote the development of the open source LLM ecosystem and is suitable for research and industry.

Gemini 2.5 Pro is a programming plug-in based on the most advanced AI technology, which can improve programming efficiency and help users quickly generate high-quality code. Its background information includes that it was developed by Google and is positioned to improve the programming experience and accelerate the development process.

Codespell.ai is an AI tool that uses artificial intelligence to generate code documentation, fix bugs, build APIs, automate testing and set up infrastructure. It supports the entire software development lifecycle, including automated testing and DevOps integration.

OpenAI Codex is an artificial intelligence-based coding assistant designed to improve developer productivity. It can understand natural language instructions and automatically generate code, making it suitable for developers who need efficient programming and rapid iteration. Codex provides an interactive command line interface that allows users to talk to it directly in the terminal. The product is free to use and is positioned to simplify the development process and improve code quality.

Skywork-OR1 is a high-performance mathematical code reasoning model developed by the Kunlun Wanwei Tiangong team. This model series achieves industry-leading reasoning performance under the same parameter scale, breaking through the bottleneck of large models in logical understanding and complex task solving. The Skywork-OR1 series includes three models: Skywork-OR1-Math-7B, Skywork-OR1-7B-Preview and Skywork-OR1-32B-Preview, which focus on mathematical reasoning, general reasoning and high-performance reasoning tasks respectively. This open source not only covers model weights, but also fully opens the training data set and complete training code. All resources have been uploaded to GitHub and Huggingface platforms, providing a fully reproducible practical reference for the AI ​​community. This comprehensive open source strategy helps promote the common progress of the entire AI community in reasoning ability research.

Same is a powerful online tool that allows users to generate corresponding code prompts by inputting web links, helping developers quickly reproduce the UI interface of the target website. It is based on advanced web page parsing technology and can accurately extract page elements and generate reusable code snippets. This tool is an efficient auxiliary tool for front-end developers, which can save a lot of time and energy, especially when it is necessary to quickly build prototypes or clone interfaces. Currently, Same provides services as a free service, mainly for developers and designers.

DeepSider is an AI intelligent assistant integrated into the browser sidebar, developed based on the DeepSeek R1 and V3 models. It uses minimalist interaction and ultra-fast response speed to help users cope with complex tasks in work, study and daily entertainment. The product is free and open, aiming to provide users with an efficient, stable and powerful AI experience.

Qodo Gen is an AI programming tool designed for developers and integrated into the IDE as a plug-in. It helps developers improve programming efficiency and code quality through functions such as intelligent code generation, automated testing, and code review. It is based on Retrieval Augmented Generation (RAG) technology and can understand the code context and generate code and test cases that match the project style. Key benefits of Qodo Gen include efficient code and test case generation, intelligent code review, and seamless integration with existing development processes. The product is aimed at development teams that pursue efficient development and high-quality code. It supports multiple programming languages ​​and development environments, has flexible pricing strategies, and is suitable for companies of different sizes.

Venice is an artificial intelligence platform with privacy protection at its core, providing multiple functions such as text generation, image generation, and code generation. It emphasizes the privacy of user data. All data is only stored on the user's device and will not be uploaded to the server. The platform leverages leading open source AI technology to provide censorship-free and bias-free intelligent services, aiming to provide users with an environment to freely explore ideas and knowledge. Venice offers both free and paid account options, with paid users enjoying premium features such as higher resolution images, no watermarks, unlimited prompts, and more.

Vibe Coder is an open source VS Code extension developed by Deepgram to explore the possibilities of voice-driven programming. It uses speech recognition technology to allow users to interact with AI programming assistants through voice commands to quickly transform ideas into code prototypes. This innovative programming method is called ‘vibe coding’ and aims to improve programming efficiency and change the way software is developed in the future. Vibe Coder is currently in an experimental phase, and Deepgram hopes to continue improving the tool through community feedback.

Mercury Coder is the first commercial-grade diffusion large language model (dLLM) launched by Inception Labs, which is specially optimized for code generation. This model uses diffusion model technology to significantly improve the generation speed and quality through a 'coarse-to-fine' generation method. It is 5-10 times faster than traditional autoregressive language models and can achieve a generation speed of more than 1,000 tokens per second on NVIDIA H100 hardware while maintaining high-quality code generation capabilities. The background of this technology is the bottleneck of current autoregressive language models in terms of generation speed and reasoning cost. Mercury Coder breaks through this limitation through algorithm optimization and provides a more efficient and low-cost solution for enterprise-level applications.

SWE-RL is a large-scale language model inference technology based on reinforcement learning proposed by Facebook Research. It aims to use open source software evolution data to improve the model's performance in software engineering tasks. This technology optimizes the model's reasoning capabilities through a rule-driven reward mechanism, allowing it to better understand and generate high-quality code. The main advantages of SWE-RL are its innovative reinforcement learning methods and effective utilization of open source data, which bring new possibilities to the field of software engineering. This technology is currently in the research stage and commercial pricing has not yet been determined, but it has significant potential to improve development efficiency and code quality.

Gemini Code Assist is a free AI programming assistant launched by Google to help developers write and review code more efficiently. It is based on the Gemini 2.0 model, supports all public domain programming languages, and is optimized for code generation and review. The tool provides free usage of up to 180,000 code completions per month and is suitable for different user groups such as students, freelance developers and start-up teams. By integrating into development environments such as Visual Studio Code and JetBrains IDEs, developers can generate, debug, and modify code without switching windows.

Claude Code is a programming assistance tool launched by Anthropic, aiming to improve development efficiency through natural language interaction. It integrates directly into the development environment, requiring no additional servers or complex setup. The tool leverages Anthropic's Claude 3.7 model and is able to understand the context of a code base and perform tasks such as editing files, fixing errors, performing tests and handling Git operations. Key benefits of Claude Code include efficient workflow integration, strong contextual understanding, and support for complex programming tasks. It is currently in the research preview stage and will be optimized based on user feedback in the future.

NovaSky is an artificial intelligence technology platform focused on improving the performance of code generation and inference models. It significantly improves the performance of non-inference models through innovative test-time expansion techniques (such as S*), reinforcement learning distilled inference and other techniques, making it outstanding in the field of code generation. The platform is committed to providing developers with efficient, low-cost model training and optimization solutions to help them achieve higher efficiency and accuracy in programming tasks. NovaSky's technical background originates from Sky Computing Lab @ Berkeley, with strong academic support and cutting-edge technical research foundation. Currently, NovaSky provides a variety of model optimization methods, including but not limited to inference cost optimization and model distillation technology, to meet the needs of different developers.

UI2Code AI is an online tool based on advanced AI technology that can quickly convert UI design images into codes in multiple programming languages. It greatly improves development efficiency and reduces the time and cost of manual coding. This tool is suitable for designers and developers, helping them quickly convert designs into runnable code. It supports multiple languages ​​such as Flutter, Swift, Kotlin, and HTML, and is suitable for a variety of development scenarios.

CopyWeb is an innovative AI-powered web design conversion tool that converts web design screenshots, website URLs, or Figma designs directly into production-ready code. It provides developers with efficient design-to-code solutions through intelligent component detection and framework selection capabilities. The main advantages of CopyWeb are its ability to significantly improve development efficiency, reduce manual coding time, and ensure that the generated code is responsive and compatible. This tool is mainly aimed at professional developers and design teams, providing web design conversion services from simple to complex. Its pricing strategy is flexible, including monthly, annual or on-demand payment to meet the needs of different users.

We0 is a powerful desktop client tool focused on helping developers quickly generate and deploy AI-driven applications. It supports a variety of modern development frameworks, such as Vue, React, Next.js, Python, Java and WeChat applets. Through We0, developers can significantly improve development efficiency and reduce the time from concept to deployment. The main advantages of this tool are its powerful code generation capabilities and support for multiple frameworks, making it ideal for full-stack developers. Currently, We0 provides downloads of Windows and Mac versions. The specific price and positioning have not yet been determined, but judging from its functions, it is mainly aimed at professional developers and enterprise users.

Windsurf Wave 3 is a major updated version of the AI ​​editor developed by the Codeium team, aiming to provide developers with a more efficient and smarter programming experience through a series of new features and improvements. This product supports the integration of multiple AI models and tools, which can significantly improve the efficiency of code generation, editing and debugging. Its key advantages include powerful AI-driven functionality, high degree of customizability, and support for a variety of programming scenarios. The product is positioned as a high-end development tool, mainly for professional developers and enterprise users, and the price strategy may involve paid subscription or enterprise customization.

VisionAgent is a powerful tool that uses artificial intelligence and large language models (LLM) to generate code to help users quickly solve vision tasks. The main advantage of this tool is its ability to automatically convert complex visual tasks into executable code, greatly improving development efficiency. VisionAgent supports multiple LLM providers, and users can choose different models according to their needs. It is suitable for developers and enterprises who need to quickly develop visual applications and can help them implement powerful visual solutions in a short time. VisionAgent is currently free and aims to provide users with efficient and convenient visual task processing capabilities.

Huginn-0125 is a latent variable loop depth model developed in Tom Goldstein's laboratory at the University of Maryland, College Park. The model has 3.5 billion parameters, was trained on 800 billion tokens, and performs well in inference and code generation. Its core feature is to dynamically adjust the amount of calculation during testing through the loop depth structure, which can flexibly increase or decrease calculation steps according to task requirements, thereby optimizing resource utilization while maintaining performance. The model is released based on the open source Hugging Face platform and supports community sharing and collaboration. Users can freely download, use and further develop it. Its open source nature and flexible architecture make it an important tool in research and development, especially in scenarios where resources are constrained or high-performance inference is required.

Learn Cursor is a learning platform focused on Cursor AI, aiming to provide developers with a systematic learning path and rich tutorial resources. Cursor AI is a powerful AI programming assistant that can help developers quickly generate code, optimize the programming process, and provide intelligent prompts. This platform integrates public Internet resources to provide Chinese developers with high-quality learning content to help them better master the usage skills of Cursor AI, thereby improving programming efficiency. As an unofficial community, Learn Cursor is committed to becoming a platform for developers to learn and communicate, and to promote the popularization of AI programming technology.

Lagrange is an AI programming tool developed by OrangeCat that can quickly transform development requirements into production-ready code. It uses advanced AI technology to understand context and generate optimal solutions instantly, greatly improving development efficiency. This product supports the automation of the entire process from requirements to code generation, can generate high-quality code in a short time, and is suitable for developers and teams who want to improve development efficiency. Currently, Lagrange provides Mac and Windows versions for download, and users can get more information through its official website.

GitHub Copilot Agent mode is a major upgrade of GitHub Copilot. It introduces autonomous agent (Agent) technology to enable developers to complete complex programming tasks more efficiently. Agent mode automatically iterates code, identifies and fixes errors, and can even deduce the additional steps needed to complete a task. Its main benefits include reducing repetitive work, improving code quality, and enhancing development efficiency. Agent mode supports multiple language models, such as Google's Gemini 2.0 Flash, and ensures code security through security sandbox technology. It is suitable for developers who need to develop and optimize code quickly, especially those working on teams working on complex projects.

DeepClaude is a powerful AI tool designed to combine the inference capabilities of DeepSeek R1 with the creativity and code generation capabilities of Claude, delivered through a unified API and chat interface. It leverages a high-performance streaming API (written in Rust) to achieve instant responses, while supporting end-to-end encryption and local API key management to ensure the privacy and security of user data. The product is completely open source and users are free to contribute, modify and deploy it. Its key benefits include zero-latency response, high configurability, and support for bring-your-own-key (BYOK), providing developers with great flexibility and control. DeepClaude is mainly aimed at developers and enterprises who need efficient code generation and AI reasoning capabilities. It is currently in the free trial stage and may be charged based on usage in the future.

DeepSeek prompt library is a powerful tool that helps users quickly achieve code generation, rewriting, interpretation and other functions by providing a variety of prompt word samples. It also supports various application scenarios such as content classification, structured output, and copywriting creation. The main advantages of this tool are that it is efficient, flexible and easy to use, which significantly increases work efficiency. The DeepSeek prompt library provides rich functional support for developers, content creators, and users who need efficient tools to help them solve problems quickly. Currently, this product may require payment, and the specific price needs to be confirmed according to the official platform information.

Jolt AI is an AI-assisted development tool designed for large code bases. It understands and navigates large code bases, accurately identifies files that need to be created, edited, moved or deleted, and matches existing coding styles, patterns and conventions. By generating editable file-level plans, Jolt AI ensures code predictability and helps developers quickly become familiar with new code bases. It can modify more than 10 files and write more than 1000 lines of code in a single task, and code revision is simple and easy. The emergence of Jolt AI aims to help development teams improve productivity, reduce development time, and improve code quality. It is mainly aimed at enterprise development teams that need to deal with complex code bases, and the specific price needs to be customized according to enterprise needs.

GoCodeo is an AI programming plug-in specially designed for Visual Studio Code, aiming to improve development efficiency through the latest AI technology. It supports multiple languages ​​and frameworks, provides code generation, testing, deployment and other functions to help developers quickly build projects and ensure code quality. The key benefits of GoCodeo include efficient production-grade code generation, automated testing, and one-click deployment, which greatly saves development time and effort. This product provides basic functions for free and is suitable for developers who want to improve development efficiency.

DeepSeek-R1-Distill-Qwen-7B is a reinforcement learning-optimized inference model based on distillation optimization of Qwen-7B. It performs well on math, coding, and reasoning tasks, producing high-quality reasoning chains and solutions. This model significantly improves reasoning capabilities and efficiency through large-scale reinforcement learning and data distillation technology, and is suitable for scenarios that require complex reasoning and logical analysis.

DeepSeek-R1-Distill-Llama-8B is a high-performance language model developed by the DeepSeek team, based on the Llama architecture and optimized for reinforcement learning and distillation. The model performs well in reasoning, code generation, and multilingual tasks, and is the first model in the open source community to improve reasoning capabilities through pure reinforcement learning. It supports commercial use, allows modifications and derivative works, and is suitable for academic research and corporate applications.

DeepSeek-R1-Distill-Llama-70B is a large language model developed by the DeepSeek team, based on the Llama-70B architecture and optimized through reinforcement learning. The model performs well in reasoning, conversational and multilingual tasks and supports a variety of application scenarios, including code generation, mathematical reasoning and natural language processing. Its main advantages are efficient reasoning capabilities and the ability to solve complex problems, while supporting open source and commercial use. This model is suitable for enterprises and research institutions that require high-performance language generation and reasoning capabilities.

Windsurf Wave 2 is the second update of a programming assistance tool for developers launched by the Codeium team. It provides developers with intelligent code generation, code optimization, troubleshooting and other functions through AI technology, aiming to improve development efficiency and code quality. The product supports multiple programming languages ​​and development environments and can be integrated with existing IDEs to seamlessly integrate into the development process. Its main advantages include efficiency, intelligence and strong contextual understanding. Windsurf Wave 2 is positioned as a high-end development tool for enterprises and professional developers who need to deal with complex code bases. Currently, the product provides SaaS and hybrid deployment options to meet the needs of different users.

Codestral 25.01 is an advanced programming assistance model launched by Mistral AI, which represents the cutting-edge technology in the field of current programming models. The model is lightweight, fast and proficient in more than 80 programming languages. It is optimized for low-latency, high-frequency usage scenarios and supports tasks such as code filling (FIM), code correction and test generation. Codestral 25.01 has been improved in terms of architecture and tokenizer. Code generation and completion are about 2 times faster than the previous generation products, making it the leader in programming tasks at the same level, especially in FIM use cases. Its main advantages include efficient architecture, rapid code generation capabilities, and proficiency in multiple programming languages, which are of great significance for improving developers' programming efficiency. Codestral 25.01 is currently launched to global developers through IDE/IDE plug-in partners such as Continue.dev, and supports local deployment to meet the needs of enterprises for data and model residency.

Deepseek Coder is an AI-based code generator that leverages the power of the Deepseek API to help developers quickly turn their ideas into applications. This tool has its main advantages of efficient code generation capabilities and ease of use, and is especially suitable for developers who need rapid prototyping. Product background information shows that it is inspired by Llamacoder and has a corresponding code base on GitHub. In terms of price, according to the page information, Deepseek Coder may be provided to users for free, but the specific pricing strategy needs further confirmation.

The Windsurf AI Directory provides a curated collection of resources, tutorials, and guides designed to empower Windsurf AI Editor, the next generation AI-driven development environment. Windsurf AI Editor promotes collaboration between developers and AI and improves development efficiency and quality by integrating AI Flow into the coding workflow. It helps developers build interactive games, complex business applications and innovative web development by providing AI programming partner Cascade, productivity features, advanced development technology, etc.

Gemini Code Assist is an AI coding assistant from Google Cloud that helps speed software development and delivery through generative AI assistance, enterprise security, and privacy protection. The product is fine-tuned with billions of lines of open source code, security data, and Google Cloud documentation and sample code to provide developers with code completion, code generation, natural language chat, and more in their IDEs and Google Cloud services. It supports multiple programming languages ​​and integrates with Google Cloud services such as Firebase, Colab Enterprise, Databases, BigQuery, Apigee, and Application Integration.

ApiHug is a platform focused on API design and development that provides a highly descriptive, modular and visual experience. The platform integrates the distribution, monitoring and management functions of API assets, supports intelligent automatic completion suggestions, linting, syntax highlighting and other functions in IDEA for all languages, and is provided through plug-ins. ApiHug aims to improve developers' efficiency and collaboration in API development and implement a specification-driven development process through standardized API design meta-language.

Zhiqu AI Selection is a comprehensive platform focusing on the field of artificial intelligence. It aims to gain insight into the development prospects of the industry, select and display domestic and foreign AI products and applications. The platform provides a wealth of learning resources and industry integration case analysis to help users gain insight into AI development trends and create the future together with AI technology.

O1-CODER is a project aiming to reproduce OpenAI's O1 model, focusing on programming tasks. The project combines reinforcement learning (RL) and Monte Carlo Tree Search (MCTS) techniques to enhance the model's system-two thinking capabilities, with the goal of generating more efficient and logical code. This project is of great significance for improving programming efficiency and code quality, especially in scenarios that require a large amount of automated testing and code optimization.

UICloner Extension is an AI-driven browser plug-in that allows users to clone UI components on any web page with one click and automatically generate the corresponding code implementation. The main advantages of this plug-in include one-click selection, multi-format code support, real-time preview, etc. Its importance lies in its ability to greatly improve the work efficiency of front-end developers, especially in the UI design and prototyping stages. Product background information shows that UICloner Extension supports the generation of HTML+Tailwind CSS or HTML+pure CSS code, which is suitable for developers who need to quickly implement UI prototypes. The plug-in is free to use and is positioned to improve development efficiency and reduce the difficulty of converting design to code.

Qwen2.5-Coder is the latest series of Qwen large-scale language models, focusing on code generation, code reasoning and code repair. Based on the powerful Qwen2.5, this series of models significantly improves code generation, reasoning and repair capabilities by increasing training tokens to 5.5 trillion, including source code, text code grounding, synthetic data, etc. Qwen2.5-Coder-32B has become the most advanced large-scale language model for open source code, and its coding capabilities match GPT-4o. In addition, Qwen2.5-Coder also provides a more comprehensive foundation for real-world applications, such as code agents, which not only enhances coding capabilities, but also maintains its advantages in mathematics and general capabilities.

Qwen2.5-Coder is the latest series of Qwen large-scale language models, focusing on code generation, code reasoning and code repair. Based on the powerful Qwen2.5, this model covers 5.5 trillion source codes, text code bases, synthetic data, etc. during training, becoming the latest technology in current open source code language models. This model not only matches GPT-4o in programming ability, but also maintains advantages in mathematics and general ability. The Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int4 model is a 4-bit instruction adjustment model quantified by GPTQ. It has the characteristics of causal language model, pre-training and post-training, and transformers architecture.

Lune AI is a community-driven marketplace for expert large-scale language models (LLMs), created by developers on technical topics to go beyond individual AI models. It reduces the illusion of technical queries and provides accurate references by integrating various technical knowledge sources such as GitHub repositories, documentation, etc. Lune AI's API is compatible with OpenAI and can be easily integrated into various tools that support OpenAI compatible models, such as Cursor, Continue, etc. Additionally, Lune AI offers a paid plan where users can get paid for contributing and creating Lunes.

Qwen2.5-Coder is the latest series of Qwen large-scale language models, focusing on code generation, code reasoning and code repair. Based on the powerful Qwen2.5, Qwen2.5-Coder-32B has become the most advanced open source code language model currently, and its coding capabilities match GPT-4o. This model provides a more comprehensive foundation in practical applications, such as code agents, etc., which not only enhances coding capabilities, but also maintains advantages in mathematics and general capabilities.

Qwen2.5-Coder is the latest series of Qwen large-scale language models, focusing on code generation, code reasoning and code repair. Based on the powerful capabilities of Qwen2.5, by expanding training tokens to 5.5 trillion, including source code, text code base, synthetic data, etc., Qwen2.5-Coder-32B has become the most advanced open source code LLM currently, and its coding capabilities match GPT-4o. This model is an AWQ quantized 4-bit instruction adjusted 0.5B parameter version, with features such as causal language model, pre-training and post-training, and transformers architecture.

Qwen2.5-Coder is the latest series of Qwen large-scale language models, focusing on code generation, code reasoning and code repair. Based on the powerful Qwen2.5, this model includes 5.5 trillion source codes, text code associations, synthetic data, etc. in training. It is currently the leader in open source code language models, and its coding capabilities are comparable to GPT-4. In addition, Qwen2.5-Coder also has a more comprehensive real-world application foundation, such as code agents, etc., which not only enhances coding capabilities, but also maintains its advantages in mathematics and general capabilities.

Qwen2.5-Coder is the latest series of Qwen large-scale language models, focusing on code generation, code reasoning and code repair. Based on the powerful Qwen2.5, this model uses 5.5 trillion source codes, text code associations, synthetic data, etc. in training, making it the leader among current open source code language models. This model not only enhances programming capabilities, but also maintains its advantages in mathematics and general capabilities.

Qwen2.5-Coder is the latest series of Qwen large-scale language models, designed for code generation, code reasoning and code repair. Based on the powerful Qwen2.5, by increasing the training token to 5.5 trillion, including source code, text code base, synthetic data, etc., Qwen2.5-Coder-32B has become the most advanced open source code large-scale language model currently, and its coding capabilities match GPT-4o. This model is an instruction-tuned version of 1.5B parameters, adopts GGUF format, and has features such as causal language model, pre-training and post-training stages, and transformers architecture.

Qwen2.5-Coder is the latest series of Qwen large-scale language models, designed for code generation, reasoning and repair. Based on the powerful Qwen2.5, the model contains 5.5 trillion source codes, text code bases, synthetic data, etc. during training, making its code capabilities reach the latest level of open source code LLM. It not only enhances coding skills but also maintains advantages in math and general abilities.

Qwen2.5-Coder-3B-Instruct-GPTQ-Int8 is a large language model in the Qwen2.5-Coder series, specially optimized for code generation, code reasoning and code repair. The model is based on Qwen2.5, and the training data includes source code, text code association, synthetic data, etc., reaching 5.5 trillion training tokens. Qwen2.5-Coder-32B has become the current most advanced large-scale language model for open source code, and its coding capabilities match GPT-4o. The model also provides a more comprehensive foundation for real-world applications such as code agents, which not only enhance coding capabilities but also maintain advantages in mathematical and general abilities.

Qwen2.5-Coder is the latest series of Qwen large-scale language models, designed for code generation, reasoning and repair. The model is based on Qwen2.5 and extends the training tokens to 5.5 trillion, including source code, text code base, synthetic data, etc. Qwen2.5-Coder-32B is currently the leader in open source code LLM, and its coding capabilities match GPT-4o. This model is a GPTQ-quantized 4-bit instruction-tuned 3B parameter Qwen2.5-Coder model, which has the characteristics of causal language model, pre-training and post-training stages, transformers architecture, etc.

Qwen2.5-Coder is the latest series of Qwen large-scale language models, focusing on code generation, code reasoning and code repair. Based on the powerful Qwen2.5, training tokens scale to 5.5 trillion, including source code, text code grounding, synthetic data, and more. Qwen2.5-Coder-32B has become the current most advanced large-scale language model for open source code, and its coding capabilities match GPT-4o. This model provides a more comprehensive foundation in practical applications, such as code agents, which not only enhances coding capabilities, but also maintains advantages in mathematics and general abilities.

Qwen2.5-Coder is a series of code-specific large-scale language models, covering different model sizes from 0.5 billion to 3.2 billion parameters to meet the needs of different developers. The model has significant improvements in code generation, code reasoning and code repair. Based on the powerful Qwen2.5, the training tokens are expanded to 5.5 trillion, including source code, text code base, synthetic data, etc. Qwen2.5-Coder-32B is currently the most advanced open source code generation large language model, and its coding capabilities match GPT-4o. Additionally, the model supports long contexts up to 128K tokens and adopts AWQ 4-bit quantization technology to improve model efficiency and performance.

Qwen2.5-Coder-32B-Instruct-GPTQ-Int8 is a large language model optimized for code generation in the Qwen series. It has 3.2 billion parameters and supports long text processing. It is one of the most advanced models in the field of open source code generation. The model has been further trained and optimized based on Qwen2.5, which not only has significant improvements in code generation, reasoning and repair, but also maintains advantages in mathematics and general capabilities. The model uses GPTQ 8-bit quantization technology to reduce model size and improve operating efficiency.

Qwen2.5-Coder-32B-Instruct-GPTQ-Int4 is a large language model for code generation based on Qwen2.5. It has 3.25 billion parameters, supports long text processing, and supports a maximum of 128K tokens. This model has significant improvements in code generation, code reasoning and code repair, and is the leader among current open source code language models. It not only enhances coding skills but also maintains advantages in math and general abilities.

Qwen2.5-Coder is a model for code generation, which has significantly improved code generation and other aspects. It has various parameter sizes and supports quantification. Free, for developers to improve efficiency and quality.

Qwen2.5-Coder is the latest series of Qwen large-scale language models, focusing on code generation, code reasoning and code repair. Based on the powerful Qwen2.5, by extending training tokens to 5.5 trillion, including source code, text code base, synthetic data, etc., Qwen2.5-Coder-32B has become the most advanced open source code LLM currently, and its coding capabilities match GPT-4o. This model not only enhances coding capabilities, but also maintains its advantages in mathematics and general capabilities, providing a more comprehensive foundation for practical applications such as code agency.

Qwen2.5-Coder is the latest series of Qwen large-scale language models, focusing on code generation, code reasoning and code repair. Based on the powerful Qwen2.5, this series of models significantly improves coding capabilities by increasing training tokens to 5.5 trillion, including source code, text code base, synthetic data, etc. Qwen2.5-Coder-32B has become the most advanced large-scale language model for open source code, with coding capabilities equivalent to GPT-4o. In addition, Qwen2.5-Coder also provides a more comprehensive foundation for practical applications such as code agents, which not only enhances coding capabilities, but also maintains its advantages in mathematics and general capabilities.

Qwen2.5-Coder-1.5B is a large language model in the Qwen2.5-Coder series, focusing on code generation, code reasoning and code repair. Based on the powerful Qwen2.5, this model has become the leader in the current open source code LLM by expanding the training token to 5.5 trillion, including source code, text code base, synthetic data, etc., with coding capabilities comparable to GPT-4o. In addition, Qwen2.5-Coder-1.5B also strengthens mathematical and general capabilities, providing a more comprehensive foundation for practical applications such as code agents.

Qwen2.5-Coder is the latest series of Qwen large-scale language models, focusing on code generation, code reasoning and code repair. Based on the powerful capabilities of Qwen2.5, this model uses 5.5 trillion source codes, text code bases, synthetic data, etc. during training. It is currently the leader in open source code generation language models, and its coding capabilities are comparable to GPT-4o. It not only enhances coding capabilities, but also maintains its advantages in mathematics and general abilities, providing a more comprehensive foundation for practical applications such as code agency.

Qwen2.5-Coder-3B is a large language model in the Qwen2.5-Coder series, focusing on code generation, reasoning and repair. Based on the powerful Qwen2.5, the model achieves significant improvements in code generation, inference and repair by increasing training tokens to 5.5 trillion, including source code, text code base, synthetic data and more. Qwen2.5-Coder-32B has become the current most advanced large-scale language model for open source code, and its coding capabilities match GPT-4o. In addition, Qwen2.5-Coder-3B also provides a more comprehensive foundation for real-world applications, such as code agents, which not only enhances coding capabilities, but also maintains advantages in mathematics and general capabilities.

Qwen2.5-Coder is the latest series of Qwen large-scale language models, focusing on code generation, code reasoning and code repair. Based on the powerful Qwen2.5, this series of models significantly improves code generation, reasoning and repair capabilities by increasing training tokens to 5.5 trillion, including source code, text code grounding, synthetic data, etc. Qwen2.5-Coder-3B is a model in the series with 3.09B parameters, 36 layers, 16 attention heads (Q) and 2 attention heads (KV), with a full 32,768 token context length. This model is currently the leader in open source code LLM, and its coding capabilities match GPT-4o, providing developers with a powerful code assistance tool.

Qwen2.5-Coder-7B is a large language model based on Qwen2.5, focusing on code generation, code reasoning and code repair. It expands on 5.5 trillion training tokens, including source code, text code grounding, synthetic data, etc., and is the latest advancement in open source code language models. This model not only matches GPT-4o in programming capabilities, but also maintains advantages in math and general capabilities, and supports long contexts of up to 128K tokens.

Qwen2.5-Coder-7B-Instruct is a code-specific large-scale language model in the Qwen2.5-Coder series, covering six mainstream model sizes of 0.5, 1.5, 3, 7, 1.4, and 3.2 billion parameters to meet the needs of different developers. The model has significant improvements in code generation, code reasoning and code repair. Based on the powerful Qwen2.5, the training tokens are expanded to 5.5 trillion, including source code, text code base, synthetic data, etc. Qwen2.5-Coder-32B has become the most advanced open source code LLM currently, and its coding capabilities match GPT-4o. Additionally, the model supports long contexts up to 128K tokens and provides a more comprehensive foundation for practical applications such as code proxies.

The Qwen2.5-Coder series is a code-specific model based on the Qwen2.5 architecture, including Qwen2.5-Coder-1.5B and Qwen2.5-Coder-7B. These models continue to be pre-trained on a large-scale corpus of more than 5.5 trillion tokens, and through granular data cleaning, scalable synthetic data generation, and balanced data blending, they demonstrate impressive code generation capabilities while maintaining generality. Qwen2.5-Coder achieves state-of-the-art performance on over 10 benchmarks on a variety of code-related tasks including code generation, completion, inference, and repair, and consistently outperforms larger models of the same size. The launch of this series not only pushes the boundaries of code intelligence research, but through its licensing, encourages wider developer adoption in real-world applications.

Qwen2.5-Coder-14B is a large-scale language model in the Qwen series that focuses on code, covering different model sizes from 0.5 to 3.2 billion parameters to meet the needs of different developers. The model has significant improvements in code generation, code reasoning and code repair. Based on the powerful Qwen2.5, the training tokens are expanded to 5.5 trillion, including source code, text code grounding, synthetic data and more. Qwen2.5-Coder-32B has become the most advanced open source code LLM currently, and its coding capabilities match GPT-4o. In addition, it provides a more comprehensive foundation for real-world applications such as code agents, not only enhancing coding capabilities but also maintaining advantages in mathematical and general abilities. Supports long contexts up to 128K tokens.

Qwen2.5-Coder-14B-Instruct is a large language model in the Qwen2.5-Coder series, focusing on code generation, code reasoning and code repair. Based on the powerful Qwen2.5, this model has become the latest technology of current open source code LLM by extending the training token to 5.5 trillion, including source code, text code grounding, synthetic data, etc. It not only enhances coding capabilities, but also maintains its advantages in mathematical and general capabilities, and supports long contexts up to 128K tokens.

Qwen2.5-Coder-32B is a code generation model based on Qwen2.5. It has 3.2 billion parameters and is one of the models with the most parameters among current open source code language models. It has significant improvements in code generation, code reasoning and code repair, can handle long texts up to 128K tokens, and is suitable for practical application scenarios such as code agency. The model also maintains its advantages in mathematics and general capabilities, supports long text processing, and is a powerful assistant for developers when developing code.

Qwen2.5-Coder is a series of Qwen large-scale language models designed specifically for code generation, including six mainstream model sizes of 0.5, 1.5, 3, 7, 1.4, and 3.2 billion parameters to meet the needs of different developers. The model has significant improvements in code generation, code reasoning and code repair. Based on the powerful Qwen2.5, the training tokens are expanded to 5.5 trillion, including source code, text code base, synthetic data, etc. Qwen2.5-Coder-32B is currently the most advanced open source code generation large language model, and its coding capabilities match GPT-4o. It not only enhances coding capabilities, but also maintains its advantages in mathematical and general capabilities, and supports long contexts up to 128K tokens.

OpenHands is an open source AI software engineer developed by All Hands AI to help developers deal with their backlog, allowing them to focus on solving hard problems, creative challenges, and over-engineering their profiles. The product solved more than half of the problems in the SWE-bench verification problem set and was the first AI engineer to score more than 50%. Additionally, top code generation researchers from more than a dozen academic institutions are helping to improve it every day. OpenHands is open source on GitHub under the MIT license, with 35k stars and 190+ contributors. It partners with AI safety experts like Invariant Labs to balance innovation with safety.

Hermes 3 is the latest version of the Hermes series of large language models (LLM) launched by Nous Research. Compared with Hermes 2, it has significant improvements in agent capabilities, role playing, reasoning, multi-turn dialogue, and long text coherence. The core concept of the Hermes series of models is to align LLM with users, giving end users powerful guidance capabilities and control. Based on Hermes 2, Hermes 3 further enhances function calling and structured output capabilities, and improves general assistant capabilities and code generation skills.

Integuru is an AI agent capable of generating integration code for third-party platforms through reverse engineering techniques. It automatically generates Python code that can trigger specific actions by analyzing the browser's network requests and user operations. The importance of this technology is that it can help developers quickly build integrated solutions without having to delve into the internal APIs of third-party platforms, improving development efficiency and lowering technical barriers. Developed by Integuru.ai, Integuru is an open source project that supports custom requests and the development of additional features.

Alex Sidebar is a smart sidebar plug-in designed for Xcode. It enhances developers' programming efficiency by providing a variety of functions. Product background information shows that Alex Sidebar is supported by Combinator and is a plug-in provided to users for free in the Beta stage. It helps developers write code faster and smarter through semantic search, code generation, automatic error repair and other functions.

AgileCoder is an innovative multi-agent software development framework inspired by agile methodologies widely used in professional software engineering. The key to the framework is its task-oriented approach. Instead of assigning fixed roles to agents, AgileCoder mimics real-world software development by creating a backlog of tasks and dividing the development process into sprints, with each sprint dynamically updating the backlog. AgileCoder supports multiple models, including OpenAI, Azure OpenAI, Anthropic, and self-hosted Ollama models.

Gait is an AI-native version control tool that helps teams more easily understand and edit AI-generated code by storing hints, context, and a combination of code. gait automatically saves AI code generation conversations and shares development context with the team through version control. It supports GitHub Copilot and Cursor, and provides a variety of functions including AI Blame, Codegen Analytics and Team Collaboration. gait aims to increase developer productivity through AI technology while ensuring that the copyright and intellectual property rights of the code are protected.

Code2.AI is an innovative online platform that uses artificial intelligence technology to help developers quickly transform ideas into code. The platform compresses the code base so that AI can understand and program alongside developers. Key benefits of Code2.AI include accelerated development processes, unlimited coding capabilities, and seamless integration with existing projects. It supports any programming language, whether for web or mobile development, providing complete functional code, not just code snippets. In addition, Code2.AI also provides detailed usage guides to help users use AI for programming more effectively.

DevKit is an AI assistant designed specifically for developers. It combines the world's leading large-scale language models (LLMs) and more than 30 mini tools to help developers quickly build software and significantly improve development efficiency. DevKit supports quickly generating public API configurations, querying Postgres databases in plain English, generating and executing code within the chat interface, and stimulating creativity through code generation and p5.js tools for artistic creation and mini-game development. DevKit has been widely recognized by the developer community for its powerful functions and ease of use, and has been rated as one of the top development tools by the Product Hunt community.

Augment UI is a tool that uses artificial intelligence technology to automatically generate user interface code based on user descriptions. It simplifies the design process and improves development efficiency, allowing designers and developers to quickly realize their ideas. Product background information shows that Augment UI aims to solve the time-consuming and repetitive work in traditional UI design. Through AI technology, users only need to describe the interface they want, and Augment UI can generate the corresponding code. This not only saves time, but also lowers the threshold for design and development. The product currently provides a free trial, and you need to know more about the specific price information.

CursorCore is a series of open source models designed to assist programming through programming instruction alignment, supporting features such as automated editing and inline chat. These features mimic the core capabilities of closed-source AI-assisted programming tools like Cursor. This project promotes the application of AI in the field of programming through the power of the open source community, allowing developers to write and edit code more efficiently. The project is currently in its early stages, but has already demonstrated its potential to improve programming efficiency and assist with code generation.

o1-engineer is a command-line tool designed to help developers efficiently manage and interact with projects through OpenAI's API. It provides code generation, file editing, project planning and other functions to simplify the development workflow.

AMD-Llama-135m is a language model trained based on the LLaMA2 model architecture and can be loaded and used smoothly on AMD MI250 GPU. The model supports generating text and code and is suitable for a variety of natural language processing tasks.

WaveCoder is a large code language model developed by Microsoft Research Asia. It enhances the breadth and versatility of the large code language model through instruction fine-tuning. It demonstrates excellent performance in multiple programming tasks such as code summarization, generation, translation, and repair. The innovation of WaveCoder lies in the data synthesis framework and two-stage instruction data generation strategy it uses to ensure the high quality and diversity of data. The open source of this model provides developers with a powerful programming aid that helps improve development efficiency and code quality.

Superflex is a front-end development assistant plug-in designed to help developers quickly build UI components and pages through various input methods. It supports generating code from Figma designs, sketches, screenshots or text prompts, while analyzing and reusing components from existing code bases to suit the developer's coding style. Superflex provides services in the form of VSCode plug-ins, supports multiple input sources to generate code, and can adapt to developers' coding styles. It provides transparent pricing strategies, aiming to help developers improve work efficiency, reduce duplication of work, and focus on innovation and solving complex problems.

awesome-cursorrules is a collection of .cursorrules files customized for the Cursor AI editor. Cursor AI is an AI-powered code editor that allows developers to define project-specific instructions through .cursorrules files, allowing the AI ​​to generate code based on the project's specific needs and preferences. These files help improve the relevance and accuracy of code generation, ensure that code is consistent with the project's style guide, improve development efficiency, and promote consistency in coding practices across team projects.

Qwen2.5-Coder is a member of the Qwen2.5 open source family, focusing on code generation, reasoning, repair and other tasks. It improves coding capabilities by amplifying large-scale coding training data while maintaining mathematical and general capabilities. The model supports 92 programming languages ​​and achieves significant improvements in code-related tasks. Qwen2.5-Coder adopts the Apache 2.0 license and is designed to accelerate the application of code intelligence.

iFlytek Spark is an AI large language model launched by iFlytek that is fully benchmarked against GPT-4 Turbo. It integrates multiple AI technologies, such as speech recognition, natural language processing, machine learning, etc., to provide users with efficient and intelligent office productivity tools. This product can not only process text information, but also perform speech recognition and generation. It supports multiple languages ​​and is suitable for many fields such as enterprise services, smart hardware, smart government affairs, smart finance, and smart medical care.

C Know is a generative AI product jointly developed by CSDN and external partners. It focuses on providing programmers with Q&A, dialogue, file analysis, code generation and other services, aiming to improve work and learning efficiency. Through advanced artificial intelligence technology, it can understand and answer questions related to programming, supports multiple programming languages ​​and frameworks, and is a powerful assistant for programmers in their daily development and learning process.

GenAgent is a framework for building collaborative AI systems by creating workflows and converting these workflows into code for better understanding by large language model (LLM) agents. GenAgent is able to learn from human-designed work and create new workflows. The generated workflows can be interpreted as collaborative systems to complete complex tasks.

Yi-Coder is a family of open-source large-scale language models (LLMs) that provide state-of-the-art coding performance with less than 10 billion parameters. It comes in two sizes—1.5B and 9B parameters—in base and chat versions and is designed for efficient inference and flexible training. Yi-Coder-9B was trained on an additional 2.4 trillion high-quality tokens on GitHub's code base-level code corpus and code-related data filtered from CommonCrawl. Yi-Coder excels at a variety of programming tasks, including basic and competitive programming, code editing and warehouse-level completion, long-context understanding, and mathematical reasoning.

Polymet is a design tool that uses artificial intelligence technology to help users quickly go from idea to prototype. It connects Figma and code libraries, enabling users to quickly design and iterate while exporting production-ready code that adheres to design patterns. Key benefits of Polymet include increased design and iteration speed, seamless connection of design tools and code libraries, and reduced manual coding workload through AI-assisted design, thereby accelerating time to market.

VBA Code Generator is an online tool that uses artificial intelligence technology to help users quickly generate VBA code. It provides a wide range of applications for Excel automation and Access database management. Complex VBA codes can be generated through simple text instructions, greatly saving users' programming time.

Zed AI is a plug-in integrated into programming workflows that enhances code generation, transformation, and analysis through direct dialogue with large language models (LLMs). It provides a variety of interaction methods, including assistant panels, slash commands, inline assistants, and prompt libraries to improve development efficiency. Zed AI also supports multiple LLMs providers, allowing developers to choose different models according to their needs to improve development efficiency. In addition, Zed AI offers a new hosting service that is free for the first month and comes with an Anthropic API designed for fast conversion of existing text.

CursorLens is an open source dashboard designed for the Cursor.sh IDE to log AI code generation, track usage, and control AI models (including local models). It allows users to run locally or use the upcoming hosted version. This product represents the application of AI technology in the field of programming, providing functions such as code generation, usage tracking, and model control, which greatly improves development efficiency and code quality.