AI

AISlop, a CLI for catching AI generated code smells

Hacker News

AISlop, a CLI for catching AI generated code smells

Hi, I’m Kenny, I’ve been building aislop. I starting working on this after using Claude Code, codex and opencode several times and noticing some slops. They aren’t syntax and passes most tests, they are patterns like empty catch blocks, useless comments, duplicated helpers, dead code and many more. So I built a tool to scan and check for these patterns and wired it into hooks so after each tool call, the agent checks for the slops. You can try it out with npx aislop scan. It’s all local and no code is transferred. Thank you.

Visit product View on Hacker NewsMay 29, 2026

Actual performance

73points

65comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

91%91% 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.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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

Incorrect prediction on native model

Similar products

gait72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Git-Blame for AI-Generated Code

Product Hunt+168Software Engineering

Audit AI Generated Code with Go Std Lib38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Audit AI Generated Code with Go Std Lib

MergeShield23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Govern AI-generated code before it ships

Indie Hackerscommitment-full-time

Security Cards – Reducing insecure AI-generated code by 72%38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Security Cards – Reducing insecure AI-generated code by 72%

DiffSentry32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Catch risky AI-generated code before it hits production

Indie Hackers1$500/moproductivity

Deff – Review AI-generated code changes26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Deff – Review AI-generated code changes

Docstring – AI-generated code documentation and hosting58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Docstring – AI-generated code documentation and hosting

CodePrism – an AI-generated code analysis engine as MCP34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CodePrism – an AI-generated code analysis engine as MCP

Syntix70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automatic Execution of AI-Generated Code

VibeGuard – security linter for AI-generated code42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

VibeGuard – security linter for AI-generated code

Browse all products Analyze your launch