Verity – self-healing review gate for Claude Code

Hacker News

Hi folks, We built what we think the next generation of code review looks like. It's an adversarial, self-healing gate for coding agents that repairs the code on every run, so only clean and secure code moves forward. Here's a short demo https://www.youtube.com/watch?v=vsq_cHoZCnk The next agent run also starts smarter than the last thanks to a built-in memory, and because of that agent costs start to stabilize. It's completely free while in beta. We're looking for testers doing serious agentic engineering to help shape the roadmap. Install takes about two minutes, and you'll see your first gated review on your next agent run. Give it a spin: npm install -g @codacy/verity-cli && verity init

Visit product View on Hacker NewsJun 26, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, claude · Missing: mac, macos, cursor

89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsMay not resonate with HN audience · Strong signals: code review, io · Missing: https docs, excited, just released

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

27%27% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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