Define a problem. Aggregate all best practices. Hack it. Problem-driven optimization engine for LLM prompts and agent configurations. Runs candidates against a test corpus, scores outputs, diagnoses failures, explores external evidence, and applies targeted single-variable mutations. In Cursor, pair with the ralph-loop skill (/ralph-loop) so each chat turn runs exactly one Hacker cycle until completion_promise or max_iterations.
2026-04-06