
Codepilot AI Code Review
利用OpenAI API进行AI驱动的代码审查和调试分析。
TOPDEV99999 · GitHub
AI-codepilot An advanced AI-driven code analysis tool built with Next.js, leveraging OpenAI's API to review and debug code efficiently.
完整作品展
技术栈
20 projects

利用OpenAI API进行AI驱动的代码审查和调试分析。
TOPDEV99999 · GitHub
AI-codepilot An advanced AI-driven code analysis tool built with Next.js, leveraging OpenAI's API to review and debug code efficiently.

通过统一的 API 接口访问多个 AI 语言模型。
u/DanTahirCode · Reddit
I built an open source coding agent with a personality - meet Klenny Code 🐾 Hey r/SideProject, my name is Dan Tahir, and I'm here to show off something I'm really proud of: Klenny Code, the open source coding agent with personality. A fully capable coding agent with memory and cross-project referencing, plus an assistant who can read your email, run scheduled tasks, pilot your browser, and be your corgi pal. Here's the pitch: bring your own OpenRouter API key, and Klenny wil

从网站生成 MCP 端点和 llms.txt 文件供 AI 代理集成。
AshHackerNews · HN
AgentReady – MCP server that makes any docs site queryable by AI agents

将设计组件自动转换为代码的AI工具。
@ShrirajKun · X
could do one thing ... train a model specifically to break the design component by component then make it generate a code for it .. i tried something a vibe coding platform after frusting with existing vibe coding platform

通过InferAll统一API访问207+个AI模型
TaylorM492 · HN
InferAll – One API for OpenAI, Anthropic, Google, Nvidia Nim

使用AI技术生成复杂的Excel公式。
Formulas AI — 帮助用户生成 Excel 公式,基于 DeepSeek-V3 的 AI 工具产品(需要用户自己填入key)


追踪您的应用中使用的 AI 模型,并在其被弃用前获得警告。
taylorgt · HN
Find every AI model your code calls and warn before it's retired

学习工作方式的AI助手,将任务分配给30多个前沿模型。
@otakuaakash · X

用自然语言描述你的想法,即可构建并部署生产应用。
@jordanunegbu · X
Develop apps and websites with natural language?

由AI驱动的代码审查工具,在microVM中运行代码来捕获更多错误。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

构建和改进 AI 提示词以获得更好的模型响应。
markquis91 · HN
Prompting Refinement Tool [requesting testing]