feat: Mutator — LLM-driven mutation with failure cases + learning log (#153)#418
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feat: Mutator — LLM-driven mutation with failure cases + learning log (#153)#418
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…#153) Adds Organism struct, FailureCase struct, and Mutator to evolver.zig: - Organism: code-patch candidate with id, parent lineage, explanation, diff, fitness - FailureCase: test name + snippet from evaluation - buildMutationPrompt(): constructs bounded prompt with problem, parent solution, test failures (max 5), and learning history (max 2000 chars) - parseMutationResponse(): extracts EXPLANATION and DIFF sections from LLM output, strips ```diff fences, returns null on malformed responses - Mutator.mutate(): wires prompt building + response parsing; placeholder for actual LLM call pending API integration 8 new tests covering prompt construction (all sections, truncation, empty), response parsing (valid, no markers, empty diff, no fence), and Mutator offspring generation tracking. All 26 evolver tests pass. Made-with: Cursor
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Summary
Organismstruct: code-patch candidate with id, parent_id, generation, explanation, diff, fitness, problem_hashFailureCasestruct: test_name + snippet from evaluationbuildMutationPrompt(): Constructs a bounded prompt with:parseMutationResponse(): Extracts EXPLANATION and DIFF sections, strips ```diff fences, returns null on malformedMutator.mutate(): Wires prompt building + parsing; placeholder for LLM call pending API integrationTest plan
zig test src/evolver.zig— 26/26 tests passCloses #153
Made with Cursor