
ModelBrew — AI you don't have to double-check
用你的数据微调定制语言模型,支持密码学删除证明。
@MBrew26730 · X
Dataset cleaning + fine tuning + continual learning at
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用你的数据微调定制语言模型,支持密码学删除证明。
@MBrew26730 · X
Dataset cleaning + fine tuning + continual learning at

开源AI代理,理解代码库、生成代码并自动在GitHub上创建拉取请求。
u/shaurya-afk · Reddit
Looking for feedback on my open-source AI GitHub agent that understands repositories and opens PRs automatically Hi everyone, I've been building an open-source project called Nascent, and I'd love some honest technical feedback from developers who work on real GitHub repositories. The idea is simple: - Connect a GitHub repository - Ask for a feature, bug fix, or refactor in plain English - The agent analyzes the codebase - Generates the required changes - Shows a d

浏览器中的开发环境,集成shell、git和本地AI。
Dhravya · GitHub
burrow a whole dev machine in a browser tab - bun.wasm, shell, git, and local AI. phones home to nobody.

检测AI生成代码中的安全漏洞,传统扫描器无法发现。
u/RyzeBlaziken · Reddit
Built a codebase security vulnerability scanner Hey guys, wanted to tell you guys about a tool I built called Scanity. Scanity scans codebases to find security vulnerabilities in code. Nowadays, with AI coding so fast, there are so many internal bugs and vulnerabilities that get missed. Here are the main features we have: Seamless integration with GitHub Actions, checking each PR before it merges, and automatically providing suggested fixes. Drop into any repository, run a full scan,

AI代码审查工具,在microVMs中运行代码以捕获更多错误。
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

自动扫描代码变更,发现安全问题和代码质量缺陷。
@RepoMend02 · X
Vibe-coded your MVP in a weekend? Cute. RepoMend reads every diff and hunts the secrets your AI forgot to redact. The auditor the AI forgot to build.

AI-powered coding agent template supporting Claude Code, OpenAI Codex CLI, Cursor CLI, and opencode with Vercel Sandbox
@RudyNTech · X
Had a good chat with @AmirKodro, founder of vibe coding tool about how I'm a bit surprised we don't yet have something of a traditional business org chart with silo'd AI agent "employees". Lo and behold, today I come across @coderblock, which does exactly that! What do you think @AmirKodro?

Format JSON, minify code, test regex, merge PDFs and more: free, fast, privacy-first developer tools.
@546_md · X
I recently launched CodeToolsStudio, a collection of privacy-first developer tools for things like JSON, JWT, Regex, Base64, timestamps and more. you can test it here: 🌐 I'd genuinely appreciate feedback on what you'd improve or add to it

预提交钩子,在提交前检测AI生成的冗长防御性代码。
@iampeersky · X
is blazingly fast LLM generated code slop detector & clean up cli tool that installs as git pre-commit hook to save your git history from sloppppp

Turn a plain-English sentence into a working Minecraft mod, map or Bedrock add-on — free, no coding, no API keys. Java datapacks, Bedrock .mcpacks, custom items, boss fights, Bed W
@MineModAi · X

Jiki 通过编码游戏和挑战学习编程基础,适合 LLM 时代
@RahimNathwani · X
Not a direct answer but the guys at Exercism (non-profit that publishes really good and free programming language self-study courses) recently launched a separate site to teach junior programmers both vibe coding and software engineering fundamentals.

为Claude Code和Codex设计的开源遥控器,支持iOS、Android和网页。
@Ex3NDR · X
Few days ago Happy had a birthday. Tried to refresh one of the most neglected part of it: our Happy Website: also i built a new harness called “rig”. i started to use at work recently instead of codex/claude code and i liked how it does work. i want to share this with everyone. it is a codex and cause code reimplemented using Pi, but keeping native prompts and expanded a little for uniformity (like added workflows to codex yay!). when something new released that is worthy of porting - i ask Sol to mim for prompts or read sources directly and i can have a feature within an hour. why this is needed? i was constantly blocked by the needing of integrating a lot of models together, which each has their own harness or many doesn’t have any, but i didn’t want to go too far from native and don’t like the idea of extensions - i want experience to be the same everywhere. i think configuration > extensions. more soon