AI for Developers: A Practical Guide (video)

Practical AI for developers: coding, debugging, tests, docs, privacy, and combining AI with static analysis and review.

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AI for Developers: A Practical Guide. Here's the short version.

AI for developers covers assistants that help you write, explain, test, and refactor code — inside the IDE or through chat. Used well, they reduce friction; used carelessly, they add risk.

Where developers use AI today. Inline completion and chat in the IDE. Explaining unfamiliar modules during onboarding. Drafting unit tests and documentation. Debugging from stack traces.

Reusable prompt patterns. “C# 12 / .NET 8 — add method X with validation for Y; return Result<T>; include XML docs.”. “Explain this diff in plain language; list risks; do not change behavior.”. “Generate xUnit tests for edge cases: null input, empty string, max length.”. “Refactor to extract private methods; keep public API unchanged.”.

Limitations and privacy. Do not paste secrets, customer data, or unreleased designs into public models. Prefer enterprise policies with retention controls when available.

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