autoresearch

# Autoresearch: Autonomous Improvement Loop Scan codebase quality metrics, propose improvement loops, and run autonomous agent iterations. Inspired by [karpathy/autoresearch](https://github.com/karpathy/autoresearch), adapted from ML research to code quality. **Concept**: The agent proposes a code change, runs the measurement, keeps the change if the metric improved, reverts via `git reset` if not, and repeats until manually stopped. **Time**: Scan ~30s | Per iteration: depends on scope | Loop: runs indefinitely until you stop it --- ## Mode 1: Scan (default) Measure current state, detect existing loops, propose next actions. ### Instructions Run the following metrics and display a prioritized proposal table. **Step 1: Measure codebase metrics** Adapt grep patterns to your project's conventions. These are TypeScript defaults, adjust for your stack. ```bash # M1: Function declarations (prefer arrow functions) M1=$(grep -r "export function " src/ --include="*.ts" --include="*.tsx" -l 2>/dev/null | wc -l | tr -d ' ') # M2: Interface declarations (prefer type aliases) M2=$(grep -r "export interface " src/ --include="*.ts" --include="*.tsx" -l 2>/dev/null | wc -l | tr -d ' ') # M3: ESLint disables M3=$(grep -r "eslint-disable" src/ --include="*.ts" --include="*.tsx" -l 2>/dev/null | wc -l | tr -d ' ') # M4: Type casts to any M4=$(grep -r " as any" src/ --include="*.ts" --include="*.tsx" -l 2>/dev/null | wc -l | tr -d ' ') # M5: TODO comments M5=$(grep -r "// TODO" s...