
DevDiff
Analyzes code diffs and changelogs using AI with your own API keys.
@eldrex_bula · X
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23 projects

Analyzes code diffs and changelogs using AI with your own API keys.
@eldrex_bula · X

Security scanner that detects vulnerabilities in AI-generated code repositories.
@GetPrbl · 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

Analyze Python code across 14 quality dimensions to detect violations and measure capabilities.
@KSFirasa · X
Hello! I built a tool that profiles code (python only atm) across 14 dimensions detecting violations and capabilities outputting a full report. A bit more nuanced than "AI-powered insights". Free while in beta. Thank you!

AI-powered code review that runs code in microVMs to catch 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

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.

Runs real exploits against your web apps, APIs, and AI features with proof of each finding.
@yedil_bek · X
Building RedRun - security testing that proves what it finds. Runs the real exploit + hands you the exact request/response: SQLi, IDOR, SSRF, XSS, JWT + AI prompt-injection. Zero false positives. Free scan → Active engine invite-only - DM for access code

Discover and install custom Claude Code status line scripts.
rsproule · HN
Share and explore custom Claude Code status lines

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 -

Generate branded QR codes with real-time analytics on scans, devices, and locations.
@codewithnovel · X
glad to know how much relevant my SaaS currently !

Benchmark version-control systems and coding agents on realistic development tasks.
videlov · HN
I was interested in answering this question so I built a benchmark comparing git, jj and gitbutler in agentic context https://vcbench.dev/ Disclaimer - I am a co-founder of GitButler

Reviews AI-generated code to detect architectural drift and quality issues.
@Sakthi_in · X
- Ship AI written code confidently. Catch drift before it compounds.