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Test-driven development

As explained in The AI Pocket Book

A development practice where tests are written for small units of behavior before or alongside code implementation.

Test-driven development (TDD) makes validation part of coding rather than a final check. Divide software into small units, anticipate edge cases, write tests for likely failures, and make the implementation pass them. Some developers write each test before its code. The useful target is reliable software—not an impressive pile of unlikely tests. section 5.6

A practical TDD loop looks like this:

  • Split the code into small units of behavior. section 5.6
  • Think through edge cases and things that could go wrong. section 5.6
  • Write an individual test for each important failure or expected behavior. section 5.6
  • Implement or adjust the code until it passes. section 5.6
  • Keep the test when it replaces an ad hoc check, but avoid spending excessive time on extremely unlikely scenarios. section 5.6

Replace the temporary check

When tempted to run software and inspect a print statement, write a test case for that behavior instead. The test remains in the codebase and can catch regressions later. section 5.6

How The AI Pocket Book covers it

How deep it goes
Explains units, edge cases, tests, passing implementations, and scope tradeoffs, but stops short of tools or frameworks.
Examples
Uses individual tests and persistent replacements for print-statement checks as practical examples.
What you can do after
Practice/perform TDD by turning anticipated failures and ad hoc checks into lasting tests.
How it connects
Links TDD with validation-driven teams, edge cases, reliable software, and trunk-based development.

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This explainer was generated by Manning's knowledge graph from the text of The AI Pocket Book. The section links point to the parts of the book it draws on.