AI-SLOP-Detector

Purpose: Detecting weak reasoning, repetitive code, and shallow implementation patterns before they become production debt.

Inferred · not functionally tested

Audience: software developers and engineering teams using AI-assisted coding

Inferred · not functionally tested

Functions: analytics, monitoring

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: WEB · deployment: browser, cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: flamehaven.space · github.com. These links do not verify the individual claims.

In the AI code review space, AI-SLOP-Detector takes a focused approach. Inferred · not functionally tested: It focuses on detecting weak reasoning, repetitive code, and shallow implementation patterns before they become production debt. Inferred · not functionally tested: It is built as an open-source project for software developers and engineering teams using AI-assisted coding. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: AI-SLOP-Detector is available on the web and the command line, and it can be self-hosted.

Flamehaven builds and maintains AI-SLOP-Detector, and it first shipped in 2026. The project is developed in the open on GitHub with 93 stars and 25 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include code inspection, AI code review, and quality gates.

Summary written by a language model from the project’s public pages.