WaveCoder is a large language model for code developed by Microsoft Research Asia. It enhances the versatility and functionality of code language models through instruction fine-tuning. The model demonstrates exceptional performance across various programming tasks, including code summarization, generation, translation, and repair. Its innovation lies in the data synthesis framework and two-stage instruction data generation strategy, ensuring high quality and diversity of data. The model's open-source nature provides developers with a powerful coding assistance tool, contributing to increased development efficiency and code quality.

Auto-code-rover is an automated solution for resolving GitHub issues (bug fixes and feature additions). It combines language models with analysis and debugging capabilities to pinpoint the fix location and generate patches. Currently, it can solve 16% of SWE-bench problems and 22% of SWE-bench lite problems, surpassing the performance of existing AI software engineers. It works in two stages: first, it retrieves relevant context information through a code search API, and then, based on the obtained context, it attempts to write a patch program. It has two unique characteristics: first, the code search API has project structure awareness, it's not a simple string match, but a search for related code contexts in the abstract syntax tree; second, if a test suite is available, it can leverage statistical fault localization to improve the repair rate.

ScriptGPT is a neural network tool based on GPT-3 that can automatically generate JavaScript and TypeScript feature code based on user-provided configuration. Utilizing natural language processing technology, it can produce corresponding code implementations with just simple descriptions of the desired code functionality. This tool significantly enhances development efficiency, allowing users to focus on code features and business logic while automating the繁琐 coding tasks. Key advantages include: 1. Increased code development speed; 2. Reduced redundant work; 3. Automatic addition of test cases; 4. Automatic installation of required code libraries; 5. Generates code that is ready to use. The product provides services in both command-line and API formats, allowing developers to choose the most suitable integration method for their own development process.

This is an application that uses tldraw and gpt-4-vision api to generate html based on the wireframes you draw. It can quickly create prototypes of static web pages and automatically generate the corresponding HTML code, improving front-end development efficiency. The tool is simple and easy to use, suitable for front-end developers and UI designers. It is positioned to enhance interface design and development efficiency, and reduce workload. Its working principle is to obtain the current canvas SVG, convert it to PNG, send this png to gpt-4-vision, and attach instructions to return a single html file with tailwind.

SafeCoder is an enterprise-oriented code generation solution. Based on a large-scale open-source language model, it can fine-tune the internal code repositories of the enterprise, generate code recommendations suitable for business scenarios, and significantly enhance development efficiency. This solution places great emphasis on security and compliance, ensuring that code training and reasoning are fully completed within the customer's infrastructure, guaranteeing that code and the model will not be leaked to any third party. Key features include: built upon the open-source BigCode model series, support for deployment on customer's private infrastructure, fine-tuning of internal code repositories, generation of code suggestions suitable for business operations, improvement of software development efficiency for enterprises, and a strong focus on security and compliance to protect intellectual property rights.

WaveCoder is a large language model for code developed by Microsoft Research Asia. It enhances the versatility and functionality of code language models through instruction fine-tuning. The model demonstrates exceptional performance across various programming tasks, including code summarization, generation, translation, and repair. Its innovation lies in the data synthesis framework and two-stage instruction data generation strategy, ensuring high quality and diversity of data. The model's open-source nature provides developers with a powerful coding assistance tool, contributing to increased development efficiency and code quality.

Auto-code-rover is an automated solution for resolving GitHub issues (bug fixes and feature additions). It combines language models with analysis and debugging capabilities to pinpoint the fix location and generate patches. Currently, it can solve 16% of SWE-bench problems and 22% of SWE-bench lite problems, surpassing the performance of existing AI software engineers. It works in two stages: first, it retrieves relevant context information through a code search API, and then, based on the obtained context, it attempts to write a patch program. It has two unique characteristics: first, the code search API has project structure awareness, it's not a simple string match, but a search for related code contexts in the abstract syntax tree; second, if a test suite is available, it can leverage statistical fault localization to improve the repair rate.

AutoDev is an AI programmer tool launched by Microsoft. It can autonomously generate and execute code based on user-defined goals without human intervention. Based on the GPT-4 model and using a multi-Agent collaboration mechanism, AutoDev achieves a Pass@1 rate of 91.5% for code generation tasks and 87.8% for test generation tasks in the HumanEval benchmark, with performance surpassing the GPT-4 baseline by more than 30%. AutoDev aims to enhance development efficiency and lower the programming threshold.

Code Llama 70B is a large-scale open-source code generation language model capable of generating code in multiple programming languages based on natural language prompts or existing code snippets. Built on the general language model Llama 2 with 17.5 billion parameters, it has been fine-tuned specifically for code generation tasks and can efficiently and accurately generate code in languages such as Python, C++, and Java. In人工评估基准测试中，Code Llama 70B achieved a score of 67.8, surpassing the performance of previous open-source models and comparable to patented models. Its powerful code generation capabilities can enhance programming efficiency, reduce the threshold for coding, and inspire more innovative applications.

ScriptGPT is a neural network tool based on GPT-3 that can automatically generate JavaScript and TypeScript feature code based on user-provided configuration. Utilizing natural language processing technology, it can produce corresponding code implementations with just simple descriptions of the desired code functionality. This tool significantly enhances development efficiency, allowing users to focus on code features and business logic while automating the繁琐 coding tasks. Key advantages include: 1. Increased code development speed; 2. Reduced redundant work; 3. Automatic addition of test cases; 4. Automatic installation of required code libraries; 5. Generates code that is ready to use. The product provides services in both command-line and API formats, allowing developers to choose the most suitable integration method for their own development process.

AlphaCode 2 is an AI-powered programming tool released by Google. Powered by the Gemini model, it excels in multiple languages in programming competitions and possesses the ability to understand complex problems and solve programming challenges.

This is an application that uses tldraw and gpt-4-vision api to generate html based on the wireframes you draw. It can quickly create prototypes of static web pages and automatically generate the corresponding HTML code, improving front-end development efficiency. The tool is simple and easy to use, suitable for front-end developers and UI designers. It is positioned to enhance interface design and development efficiency, and reduce workload. Its working principle is to obtain the current canvas SVG, convert it to PNG, send this png to gpt-4-vision, and attach instructions to return a single html file with tailwind.

AICodeConvert combines AI capabilities for code conversion and generation, enabling efficient code transformation between different programming languages and automatic creation of high-quality code. This powerful combination provides developers with a convenient and intelligent coding experience. All services are completely free, making it your ideal AI programming assistant.