The article addresses the challenges of integrating AI coding assistants within the framework of Test-Driven Development (TDD). TDD, which emphasizes writing tests before coding, offers a structured methodology that emerges from the late 1990s work of Kent Beck. The process involves creating test cases that define desired behaviors, writing minimal code to pass the tests, running all tests, and then refactoring the code while maintaining test integrity. This disciplined approach can leverage generative AI effectively when the context is well understood.
Integrating AI-driven development tools can be challenging without proper context or a defined development process, particularly in environments leveraging Test-Driven Development (TDD).
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