Guides and deep dives.
How-to guides, pattern breakdowns, and project updates.
AI Slop: How to Detect and Prevent Low-Quality AI Code
AI slop compiles, passes tests, and still weakens your codebase. Here is what it is, the named patterns that give it away, how to detect them, and the workflow that keeps them out of review.
Read more →What I fixed after that score, and what I kept
A clean library scored 1 out of 100, and the score was my bug, not the code. Here is the week I spent fixing it: rule by rule, measured on real projects, including the scoring change I built, liked for an hour, and then reverted because it was lying.
Read more →The feedback that made my launch
I launched aislop on Hacker News and went from 21 stars to over 200. Then the maintainer of a library with tens of thousands of stars ran it on his own code, scored 1 out of 100, and told me plainly that I had it wrong. That message is the reason I keep building this.
Read more →aislop v0.9.4. SlopCodeBench called it verbosity. We turned it into rules.
Four new Python rules drawn from the verbosity signal in SlopCodeBench (SCBench, arXiv 2603.24755). Plus a CLI star prompt and GitHub Discussions for the community.
Read more →aislop v0.9.3. We measured the noise. Then we cut it by 38%.
Patch release focused on rule precision. Tightens detection across the ai-slop, security, lint, and source-file engines so language conventions are no longer flagged as slop. No new rules — existing ones now discriminate better.
Read more →A prompt is a suggestion. A CI gate is a guardrail.
A prompt can guide an agent, but an enforced check is what keeps standards visible in the workflow.
Read more →The AI Slop Loop: How Code Residue Compounds
Generated output can expand review queues, leave unnecessary code, and weaken team understanding. Learn the evidence-backed loop and how to interrupt it.
Read more →AI Code Quality Statistics 2026: What the Evidence Shows
Five current studies on AI-authored code, code slop, review capacity, and automated review—plus the limitations teams should understand before quoting them.
Read more →CodeRabbit vs aislop: AI Review and Deterministic Gates
CodeRabbit combines AI review with 50+ static tools. aislop is a focused deterministic scanner. Compare their overlap, workflows, and tradeoffs.
Read more →Best AI Code Quality Tools in 2026: A Decision Guide
Compare SonarQube, GitHub Code Quality, CodeRabbit, Greptile, Qodo, Claude Code Review, and aislop by job, evidence, workflow, and tradeoffs.
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