开发者工具1 month ago
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
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.
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
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
为AI编程工具提供的Linux工作环境，可在会话间保持文件、依赖项和服务。
@SeagerCortez · X
免费开发者工具集合，以地图形式组织，包括格式化、生成和解码工具。
@AntiaIuri · X
Just shipped DevErse 🚀 A curated directory for dev tools & AI utilities built to speed up your workflow. It's super early stage — check it out and let me know your thoughts! 👇 🔗 #buildinpublic #indiehackers #laravel #reactjs
通过交互式代码审查和系统设计题目提升技术评估能力。
u/Most-Football-4401 · Reddit
AI is writing more and more of our code. I think that means we need to get much better at reviewing it. We have a lot of tools to practice coding (LeetCode, HackerRank, Codewars, and so on). But I see very little on practising reviewing code, especially code written by AI . I am aware industry is running to build tools for AI review AI written code (the fox guarding the henhouse). But I believe it is just a matter of time before regulators start slapping hands for doing so in regulated indus
