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Cursus · 7 hoofdstukken

Code Testing for Agentic Dev

Static analysis, coverage, mutation, AI-driven test generation, pre-commit hooks, and property-based testing — the feedback loops that keep Claude Code and Codex honest

Betaaldpractitioner7 hoofdstukkenEngels + 6 talenCertificaat bij afronding
Start de cursus

Wat je zult kunnen

  • A 12-minute orientation to the Code Testing skill path — the write-verify-fix feedback layers that keep AI coding agents honest, and the order to learn them in.
  • Master test strategy, the testing trophy, and how to write automated tests that actually catch bugs.
  • Wire Ruff, Biome, Pyrefly, ty, Semgrep, and CodeQL as sub-second feedback sources for Claude Code and Codex.
  • Wire format, lint, type-check, and test into a layered hook skill path that forces Claude Code and Codex to fix before they commit.
  • The two-tool feedback loop that tells you where tests are missing and whether the ones you have actually work.
  • From one-shot prompts to feedback-driven loops — drive, supervise, and review the systems that now write your tests.

Wat erin zit

  1. 1
    Code Testing for Agentic Dev: Start Here

    A 12-minute orientation to the Code Testing skill path — the write-verify-fix feedback layers that keep AI coding agents honest, and the order to learn them in.

  2. 2
    Testing Foundations

    Master test strategy, the testing trophy, and how to write automated tests that actually catch bugs.

  3. 3
    Static Analysis for Agentic Development

    Wire Ruff, Biome, Pyrefly, ty, Semgrep, and CodeQL as sub-second feedback sources for Claude Code and Codex.

  4. 4
    Pre-Commit Guardrails for AI Agents

    Wire format, lint, type-check, and test into a layered hook skill path that forces Claude Code and Codex to fix before they commit.

  5. 5
    Coverage & Mutation Testing

    The two-tool feedback loop that tells you where tests are missing and whether the ones you have actually work.

  6. 6
    AI-Driven Test Generation

    From one-shot prompts to feedback-driven loops — drive, supervise, and review the systems that now write your tests.

  7. 7
    Property-Based & Fuzz Testing

    Move past hand-picked examples. Specify invariants, let a generator hunt counterexamples, and pair the discipline with agents that propose the properties you missed.

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