AI Model Benchmarks
Compare AI model success rates across 5 production coding tasks before and after applying Chemical X standards.
Empirical Agent Benchmarks: Monolith vs Chemical X
Evaluated across Claude 3.7 Sonnet, Gemini 2.5 Pro, GPT-4o, and Grok-2. We pitted the 2,700-line monolith against modular Chemical X capsules across 5 real-world coding agent tasks.
Task A: URL Param Filter Persistence
Objective: Synchronize category filter bidirectionally with URL search parameters on reload without infinite re-render cycles.
Monolith trapped in infinite URL pushState loops during reactive hydration.
Surgical patch applied cleanly in isolated molecule under 100 lines. Zero regressions.
npm run audit -- --json
Static AST linter scans every AST node for Line Budget violations (>500 lines), Hook Saturation (>5 hooks/scope), and un-factored ternaries.
GitHub Discussions: Live Audit Category
Real-world codebase audit scorecards and before vs after transformation reports published by engineers using npx chemx audit --share.
Chemical-X-Protocol/starter-kit
@xopherdeepHalloftheGods/elysium
@xopherdeepChemical-X-Protocol/starter-kit
@xopherdeepChemical-X-Protocol/starter-kit
@xopherdeepChemical-X-Protocol/starter-kit
@xopherdeep