A CLI tool that flags AI-generated code patterns in CI without running an LLM at runtime

Teams shipping AI-assisted code are silently accumulating a new category of technical debt: verbose error handling boilerplate, over-engineered abstraction layers, hallucinated API usage, and copy-paste structural duplicates that no existing linter catches. Existing static analysis tools (SonarQube, Semgrep, Codacy) scan for general code smells but have zero rules for AI-specific patterns because the category is new. This tool ships a deterministic rule engine of 50+ AI-pattern detections across major languages that runs in CI as a fast binary, blocks merges on configurable severity thresholds, and requires no LLM or network call at runtime.

Demand Breakdown

GitHub

306

115

101

Social Proof 3 sources

AISlop: A CLI for catching AI generated code smells

@gh:Heavykenny · 2026-03-06

306 RD

An Endless Stream of AI Slop study: 1154 Reddit+HN posts analysed, review friction confirmed

@arxiv:Baltes+Cheong+Treude · 2026-03-28

115 HN

Show HN: AISlop, a CLI for catching AI generated code smells

@Heavykenny · 2026-05-29

101

Gap Assessment

CompetitiveMultiple tools exist but differentiation opportunities remain

4 tools exist (AISlop, SonarQube Community, Semgrep Code, CodeRabbit) but gaps remain: No paid tier, no CI gate enforcement, no rule configurability, no language plugin ecosystem, no policy-as-code for teams, no PR integration, single maintainer with no funding.; Zero AI-specific pattern rules; heavyweight server deployment; no awareness of AI-generated code as a distinct smell category..

Features7 agent-ready prompts

Deterministic AI-pattern rule engine

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CI gate with merge-blocking enforcement

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Rule configurability and team policy-as-code

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Language plugin SDK for community rule extensions

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PR comment bot and Slack/Teams notification integration

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IDE extension for real-time feedback during authoring

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Analytics dashboard and trend reporting

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Competitive LandscapeFREE

Product	Does	Missing
AISlop	Open-source CLI with 50+ deterministic AI-pattern rules across 7 languages; no LLM at runtime; launched March 2026 with 294 stars.	No paid tier, no CI gate enforcement, no rule configurability, no language plugin ecosystem, no policy-as-code for teams, no PR integration, single maintainer with no funding.
SonarQube Community	General-purpose code smell and security vulnerability detection across 30+ languages; server-based deployment; dominant enterprise incumbent.	Zero AI-specific pattern rules; heavyweight server deployment; no awareness of AI-generated code as a distinct smell category.
Semgrep Code	Pattern-matching static analysis with a rule marketplace; fast CLI that runs in CI; OSS core with paid cloud.	No curated AI-pattern rule packs; rules must be authored manually; no out-of-the-box AI slop detection.
CodeRabbit	AI-powered PR review automation that comments on pull requests with code quality feedback; uses an LLM at runtime.	Requires LLM at every run (cost and latency); no deterministic CI gate that blocks merges without a network call; no offline/air-gapped support.