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30 projects
An AI agent that reads your GitHub repository, proposes changes, and opens pull requests.
@MetriQAI · X
— Stop re-explaining yourself to every AI. One workspace. Every AI. Shared memory.
Select your tech stack to auto-generate a production-ready GitHub repository with your chosen auth, database, and payment system.
madhudollu · Product Hunt
SupaBoot — SaaS + AI starter kit Choose your stack. Get a production-ready GitHub repo. ⭐
Review GitHub pull requests in a native app without opening github.com.
othmanosx · HN
I still don't like the fact that AI is adding more stuff for us to read, it's accelerating the code production but slowing down the code review. I built my own code reviewer as well ( https://pyor.review/ ), surfacing the important stuff first is the right track, but adding more stuff to read is daunting, but asking AI to just point you to what you need to focus on and skim the noise is what I'm leaning more towards.
Find trending open source GitHub projects and track your PRs and issues in one dashboard.
@manixh · X
Track trending AI/ML repositories on GitHub with real-time alerts and commit analytics.
@g_saikumar_ · X
Real-time GitHub intelligence for developers, founders, and open-source enthusiasts.
Generate professional GitHub READMEs instantly from repo URLs with AI, no signup needed.
@david_kubgak · X
Generate a professional README from any GitHub repository in seconds.
Paste a GitHub repo to generate an AI onboarding guide with overview, reading path, and diagrams.
@VirendraSi10558 · X
Top 30% out of 2,989 in the OpenAI x @namastedev_ Codex Hackathon 🚀 RepoPilot: turns any GitHub repo into a guided onboarding flow (analysis + AI explanations + diagrams). Planned with Codex, built with Claude Code. @akshaymarch7 @OpenAI #Codex
Scan your GitHub repo for production-readiness across security and scalability.
@nathanghart · X
Submitting for approval. I built a free tool for anyone about to ship a vibecoded app. It scans your repo for what bites you in prod (leaked keys, no auth, no error handling). I ran it on 1,868 AI-built apps and even caught my own scanner being ~42% wrong.
Automatically generate release notes from GitHub commits using AI.
@ReleasePilotHQ · X
Just shipped ReleasePilot. Connect GitHub → push code → release notes write themselves. No Actions. No config. Just push. Free for 1 repo & free trial → #buildinpublic #indiehacker #saas #github
Generate code documentation automatically on GitHub pull requests.
Aldasams · HN
Show HN: DocFlow – AI documentation updates for GitHub pull requests
AI-generated documentation wikis for open-source projects, each claim backed by code.
u/Comprehensive-Bad-43 · Reddit
I got tired of documentation that lies, so I made docs that have to prove every sentence Founder here! Every codebase I have ever joined had the same problem: the docs describe the code as it was six months ago. Nobody updates them, because updating docs is the least rewarding job in software. So I built RepoFold . You connect a GitHub repo and it generates a full wiki, but with one hard rule: every technical claim has to cite the exact file and line numbers it came from. If the AI can'
AI-powered security auditor that scans GitHub repos to find vulnerabilities and suggest fixes.
u/uwais_ish · Reddit
Three weeks to build an AI security scanner. The scanner was the easy part. Shipped RedFlag this month. Breakdown of where the time actually went, because it was nothing like I estimated. Stack: Next.js 16, Auth.js v5, MongoDB, Stripe, OpenAI. Deployed on Vercel. What I thought would be hard: getting an LLM to find real vulnerabilities. What was actually hard: getting it to stop finding fake ones. First working version flagged 200+ issues on a clean repo. Every one plausible, most of th
