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sloppy

Laravel-aware static analysis for the debt AI coding agents leave behind. 24 rules, git-diff review, a Rector and Pint fix pass, Pest expectations, CI annotations, agent rulesets and an MCP server. Deterministic, local, no LLM.

Details

External ID
1363692978
Source
GITHUB
Company
—
Product
sloppy
Website domain
github.com
Launched
Sept. 10, 2026
Cohort
—
Upvotes
13
Upvotes percentile
0.4260184473481937
Tags
ai, code-quality, filament, laravel, linter, mcp, pest, php, pint, rectorphp, static-analysis, technical-debt
Fetched at
Sept. 14, 2026, 5:29 p.m.
Updated at
Sept. 14, 2026, 5:29 p.m.

Enrichment

Theme
AI coding agents and developer tools
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
laravel static analysis for cleaning up ai-generated code
Manually corrected
False

Could you build this?

Partial While basic AST parsing for PHP using nikic/php-parser is standard, building an accurate, deterministic, framework-aware static analysis engine tailored specifically to AI antipatterns requires substantial domain expertise in static analysis and compiler design.

What it would actually take: The stack would typically use PHP with nikic/php-parser or Rust with tree-sitter. The challenging part is modeling Laravel's dynamic runtime conventions (magic methods, facades, service container resolution) statically without false positives to detect subtle logic and anti-pattern smells generated by LLMs. It requires deep knowledge of both static program analysis theory and Laravel internals.

Competitors

Other products that read as similar to this one — 2215 launches clear the similarity bar, closest 8 shown.

Attention rank: #1115 of 2216 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 316 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a dev tools tool for Sales yet.