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Move beyond basic unit tests with property-based testing to discover hidden edge cases and mutation testing to verify your tests actually work. Learn how to achieve genuine confidence in your GitHub Actions code.
Discover how to design testable GitHub Actions by avoiding common pitfalls like implicit dependencies and global state. Learn to separate business logic from infrastructure using dependency injection for fast, reliable testing.
Learn to build production-ready GitHub Actions with clean architecture, comprehensive testing strategies, and reliable release pipelines, transforming fragile automation scripts into maintainable software.
Discover how to avoid common AI coding pitfalls like context loss, hallucinated APIs, and inconsistent styles when working with agentic tools like Cursor, GitHub Copilot, and Windsurf. This hands-on guide shares effective techniques for rule-based prompting, context management with version-controlled Markdown, and building a continuously improving workflow for reliable, frustration-free results.