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Home — AI Code Documentation Generator | DocFlow
Generate code documentation automatically on GitHub pull requests.
Aldasams · HN
Show HN: DocFlow – AI documentation updates for GitHub pull requests
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Generate code documentation automatically on GitHub pull requests.
Aldasams · HN
Show HN: DocFlow – AI documentation updates for GitHub pull requests
Analyze any public GitHub profile and generate a fun, shareable Developer DNA report.
@panditdhamdhere · X
Your GitHub profile, sequenced. Vibe-coded DevDNA for fun Turns any public GitHub user into a fun, shareable Developer Genome report - power level, languages, chaos, coffee estimate, the works. No auth . Just a username. Use it -
Work through code review challenges and system design problems to practice technical evaluation.
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
Track Claude Code usage, costs, and productivity across your team with per-user dashboards.
ninomae · HN
Aimeterly – Per-user cost dashboards from Claude Code's built-in OTel
AI-powered code review tool that executes code in microVMs to detect more bugs.
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
Patchlight reviews every pull request and commit and runs scheduled security scans on your repositories. GitHub-native, provider-agnostic, pay-as-you-go.
@patchlight_dev · X
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
Find trending open source projects and track your GitHub PRs and issues in one dashboard.
@manixh · X
Pulsor connects to your GitHub repositories and reads what you already do commits, releases, shifting tech stacks then drafts developer-focused threads, code cards, and diagrams, r
@yva_n_ · X
Point your GitHub repo at this AI scanner to find exploitable vulnerabilities and get fixes.
u/Delicious-Action-351 · Reddit
I failed 4 times and still made an app to make your code more secure. I made an webapp to make your vibecoded app secure. Today, SaaS entrepreneurs ship fast and don’t check for security, at the end they get hacked and it’ll cost them a lot of money. I decided to solve this issue. Netherite is an AI Security Specialist, you connect Github and choose repo to run security scan. It scans your whole repo in minutes and hands you the professional report and fix prompt for your ai agent. You ca
AI agent that analyzes your code repo and deploys it to production infrastructure automatically.
salsta1 · HN
Nexlayer – Paste a repo. The agent analyzes, builds and deploys it
Review GitHub pull requests from a native desktop application 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.