CI Quality Gate That Flags AI-Generated Code Smells Before Review
AISlop is a CLI that scans codebases for the failure patterns agents produce, duplicated functions, dead code, and redundant abstractions, and reviewers on HN immediately reframed it as a last-pass linter for AI-heavy teams. One user ran it, fed the findings back to his agent, and fixed them in the same session. Code review is drowning in agent output, and a quality gate tuned to agent-specific smells is a wedge every team feels weekly.
Problem Statement
A reviewer handling agent PRs today reads hundreds of lines to spot the third copy of an existing helper or an abstraction nothing calls. ESLint and SonarQube partially overlap but miss the agent-specific patterns and produce noise tuned for human-written code. The AISlop thread shows the demand shape: one commenter who reviews heavy AI output called more linters for this purpose simply a good thing.
The Idea
A static analysis gate for engineering teams reviewing large volumes of AI-generated code who need agent-specific defect patterns caught before human review.
Why Now
Agent-written code became a majority share of new lines at many startups during 2025-2026, and reviewers report fatigue triaging repetitive structural mistakes. Traditional linters target style and bugs, not the duplication-and-dead-code signature of agent output, so the tooling gap opened only recently and is still unowned.
Target User
Tech leads and senior engineers reviewing agent-generated PRs at AI-adopting software teams
Target Market
Code quality tooling for AI-assisted development workflows
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