Examples for Heisenbug 2019
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Updated
Apr 18, 2019 - Jupyter Notebook
Examples for Heisenbug 2019
📈 Implémentation d’un algorithme de machine learning : régression linéaire avec descente de gradient. Le projet prédit le prix d’une voiture selon son kilométrage, avec entraînement (θ0, θ1) sauvegardé en JSON, prédiction en CLI, visualisation, tests, CI/CD et outils qualité.
Mutation-tests every test your coding agent writes and blocks 'done' until the score passes (default 80%, up to two rounds). Claude Code, Codex, OpenCode, Pi. Java, Kotlin, Python, TS/JS, Go, C#.
One function that makes the string matchable
Mutation testing for Claude Code: when Claude writes or runs tests, it also mutation-tests the code under test (Stryker, mutmut, cargo-mutants, gremlins, PIT, Stryker.NET, Stryker4s, or Claude-written mutants for any other language) and strengthens the tests until the injected bugs are caught.
Fork of Mutmut, mutation testing system for Python projects. API mutmut-compatible. Faster using --parallelize option (about 4x). Installable using poetry. Type-checked with mypy. Work in progress but it should work fine. Force push risks!
A payment system built by an AI agent from a frozen spec, zero hand written tests, guarded by a four layer verification pyramid (structural, behavioral, agent judgment, mutation). 73.1 percent mutation kill rate.
Adversarial test-hardening for AI-written code: a Tester writes tests, mutation testing finds what they miss, a Critic kills the named survivors. Mechanical verdicts, mutation-kill receipts, $0 on a Claude subscription.
Pytest suite for a rule-based LLM safety policy, hardened with mutmut mutation testing — went from 50% to 100% mutation score by replacing loose assertions with exact-value checks. 100% line coverage, 14/14 mutants killed.
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