Find AI slop before it reaches production. Fix it before review drags.
Run the free, MIT-licensed CLI locally. Then make it your team's standard: scan every agent-written change, fix mechanical issues, and hand the rest to Claude Code, Cursor, Codex, or your reviewer before merge. 50+ rules across 8 language targets, sub-second, no LLM.
See your score in 10 seconds. No account needed.
Take any public GitHub URL and swap github.com for scanaislop.com. You get a shareable AI-code-quality score before creating an account.
Agentic skills framework and software development methodology that works
Toolkit to get started with Spec-Driven Development
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Persistent memory layer for AI coding agents
Browser-based 3D Gaussian Splat editor
Lightning-fast, censorship-resistant proxy
AI browser automation framework for production workflows
Terminal-native AI coding agent built for real development loops
MCP server that gives agents structured browser automation
Install anywhere.
One CLI, every stack — run it with npx, or install via npm, Yarn, Bun, Homebrew, or Python.
npx aislop@latest scan npm install -g aislop yarn dlx aislop scan bun add -g aislop brew install scanaislop/tap/aislop pipx install aislop When AI-generated code moves faster than human review can keep up.
Define your bar once. The aislop CLI scans locally, scanaislop enforces on every PR, and your agents get concrete findings to fix before reviewers spend time on the diff.
- Ship without AI slop reaching review
- Block weak PRs before they hit your team
- Enforce one standard across every agent
- Catch security and architecture issues automatically
- Send failing code back to the agent that wrote it
- Turn remaining findings into focused fix PRs
- Score every change before merge
Wear the score on your README.
Free for any project. Drop it in your README so contributors and reviewers see the live quality score before they trust a generated PR.
| 85+ | green | healthy |
| 70–84 | amber | debt |
| < 70 | red | failing the bar you set |
| -- | grey | not yet scanned publicly |
https://badges.scanaislop.com/score/<owner>/<repo>.svg [](https://scanaislop.com/<owner>/<repo>)
Public scans, published methodology.
aislop rules come from measured failure modes in real repositories, benchmark papers, and regression tests. The research hub shows why each detector exists before your team makes it a gate.
Rule precision across seven language ecosystems
We scanned popular TypeScript, Python, Go, Rust, Ruby, PHP, and Java projects, then reduced noisy findings by 38% without disabling rules.
Read report →Benchmark signals converted into deterministic rules
SlopCodeBench measured verbosity and structural erosion. We translated the repeatable Python signals into four shipped rules.
Read report →First-run findings from real AI-assisted repositories
The earliest public scan run exposed the shapes that still drive the rule roadmap: narrative comments, dead code, unsafe casts, and broken fixers.
Read report →Guides for AI code quality and PR gates.
Practical writing for teams comparing AI code review tools, automated code review, deterministic quality gates, and the patterns AI agents leave behind.
aislop is now on the GitHub Marketplace
aislop just launched on GitHub Marketplace. Every PR gets scanned automatically, findings go back to the agent that wrote the code, and nothing merges below your quality threshold.
Read more →The Engineering Manager's Guide to Taming AI Code: Integrating scanaislop into Your Workflow
Learn how to integrate scanaislop into your team workflow to automate code quality checks and protect your codebase from AI-generated technical debt.
Read more →Automated Code Review for AI-Generated Code: The Workflow That Holds
AI-generated code changes the code review workflow. Here is how teams can combine deterministic quality gates, agent handoff, CI, and human judgment without drowning reviewers in bigger PRs.
Read more →Need a team rollout, a PR gate, or a cleaner agent workflow?
Send a note with what your team is trying to enforce. We can help you start with the free CLI, connect repo checks, or plan a private pilot for stricter governance.
Get the monthly AI-code-quality field note.
One useful note a month: public scans, benchmark signals, rule changes, and what teams can do before AI-generated code reaches review.
Built in the open. Ready for you and your team.
2,500+ developers already run the MIT-licensed CLI. It is sub-second, deterministic, and uses no LLM at runtime: same code in, same score out, every time. The hosted platform turns that local scan into team-wide enforcement, shared standards, and pull request gates.
Built for teams standardizing Claude Code, Cursor, Codex, and CI