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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.

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GITHUB · launched Sep 10, 2026 · 13 upvotes (top 59%) · 0 views

Niche: automated code review tools · 204 launches, 7 in the last 7 days ▼ -22% · Explore this niche →

Category and tags

  • Horizontal
  • Dev tools
  • Developer
  • AI feature
  • Hobby / open-source project
  • ai
  • code-quality
  • filament
  • laravel
  • linter
  • mcp
  • +6 more

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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 : 4912 launches clear the similarity bar, closest 8 shown.

Attention rank: #2703 of 4913 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 316 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.