Verdict – model evals on your own data, not someone else's benchmark
Run your own data against GPT-5 and Llama to pick the winner.

Benchmarked dead code finder across FastAPI, Pydantic, Flask—but Vulture, Bandit already solve this.
Python developers, SAST/AppSec teams
Vulture · Bandit · Pylint
Run your own data against GPT-5 and Llama to pick the winner.
Lightweight retry loop that improves IFEval instruction-following from 69% to 76% accuracy.
Blocks DNS rebinding and SSRF redirects where URL validation fails.
Mining your own PRs as benchmarks beats generic SWE-bench tasks for agent config tuning.
Claims to catch hallucinations with trees, but benchmarks cover only four topics.
Type-safe AST verification for AI workflows before they corrupt your CRM or delete production data.