{"data":{"kind":"file","path":"README.md","version_id":"e84oxyfzzd4l9zjgkzr2k6w1","entry":{"name":"README.md","path":"README.md","is_directory":false,"size":809,"modified_at":"2026-07-31T13:08:46.395000","content_hash":"07ecdd1000dba39320b9af248af7eb0891ab1bf87b835ad292d247615c2e0694"},"entries":[],"content":"# Code Quality Environment\n\nEvaluates LLM code generation quality across four dimensions:\n\n## Metrics\n\n| Metric | Weight | Description |\n|--------|--------|-------------|\n| Syntax Correctness | 0.35 | Valid Python syntax via AST parsing |\n| Code Completeness | 0.30 | Functions, type hints, docstrings, error handling, control flow |\n| Explanation Quality | 0.20 | Approach description, complexity analysis, examples |\n| Code Style | 0.15 | Comments, naming conventions, PEP 8 compliance |\n\n## Tasks\n\n10 coding challenges covering:\n- Binary search, LRU cache, cycle detection\n- Trie data structure, memoization decorator\n- Producer-consumer queue, dict flattening\n- Expression parser, profiler context manager, rate limiter\n\n## Usage\n\n```bash\nprime env push nicam/code-quality-env -p .\n```\n\n## Version\n\n1.0.0\n","encoding":"utf-8","truncated":false,"total_bytes":809},"status":null}