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Scan AI Slop
The quality gate for teams shipping AI-generated code
AI agents are writing your codes fast. They also write swallowed exceptions, hardcoded secrets, and unsafe type assertions that pass lint, pass tests, and reach production broken. aislop scores every PR, blocks what fails your bar, and sends it back to the agent to fix.
We are building aislop because we are living the problem ourselves.
We vibe code with Claude Code and Cursor daily. It is genuinely fast. We also ended up with swallowed exceptions in payment flows, hardcoded secrets that made it into commits before anyone caught them, and as any scattered through files that had no business having it.
The code compiled. Tests passed. ESLint was clean. None of it caught what the agents were actually shipping.
The tools like ESLint, SonarQube we reached for were built for code humans write. Your agents commit 500 lines across 20 files in a single session. The tooling has not caught up. So we built aislop.
What it does: Scans every PR for 40+ AI slop patterns that pass your existing checks but still reach production broken. Every PR gets a score from 0 to 100. Anything below your threshold gets blocked automatically and sent back to the agent that wrote it, with full context to fix it.
What makes it different: Every rule is deterministic. No LLMs, no AI inference, no network calls. The same input always produces the same output. You can trust the score.
Where to start: The CLI is MIT licensed. Run this on your repo right now: npx aislop scan
Or swap github.com for scanaislop.com on any public GitHub URL and get a live score in seconds. No account, no install.
We have been building in the open and would love your feedback. Drop questions below and we'll answer everything.
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About Scan AI Slop on Product Hunt
“The quality gate for teams shipping AI-generated code”
Scan AI Slop was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #92 on the daily leaderboard. AI agents are writing your codes fast. They also write swallowed exceptions, hardcoded secrets, and unsafe type assertions that pass lint, pass tests, and reach production broken. aislop scores every PR, blocks what fails your bar, and sends it back to the agent to fix.
Scan AI Slop was featured in Developer Tools (514.1k followers), Artificial Intelligence (471.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 195.2k products, making this a competitive space to launch in.
Who hunted Scan AI Slop?
Scan AI Slop was hunted by Taiwo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Scan AI Slop stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Taiwo
Hey Product Hunt,
We are building aislop because we are living the problem ourselves.
We vibe code with Claude Code and Cursor daily. It is genuinely fast. We also ended up with swallowed exceptions in payment flows, hardcoded secrets that made it into commits before anyone caught them, and as any scattered through files that had no business having it.
The code compiled. Tests passed. ESLint was clean. None of it caught what the agents were actually shipping.
The tools like ESLint, SonarQube we reached for were built for code humans write. Your agents commit 500 lines across 20 files in a single session. The tooling has not caught up.
So we built aislop.
What it does: Scans every PR for 40+ AI slop patterns that pass your existing checks but still reach production broken. Every PR gets a score from 0 to 100. Anything below your threshold gets blocked automatically and sent back to the agent that wrote it, with full context to fix it.
What makes it different: Every rule is deterministic. No LLMs, no AI inference, no network calls. The same input always produces the same output. You can trust the score.
Where to start: The CLI is MIT licensed. Run this on your repo right now: npx aislop scan
Or swap github.com for scanaislop.com on any public GitHub URL and get a live score in seconds. No account, no install.
We have been building in the open and would love your feedback. Drop questions below and we'll answer everything.