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AI

AI workflows for developers, without making the brand AI-only.

A focused area for practical AI productivity content, internal tools, and experiments that help developers understand, automate, and review work.

Workflow shape

InputReviewShip

Coverage

A practical AI lane for developer productivity.

This section can start as content and later grow into actual AI-powered tools, APIs, and extensions.

Prompt patterns for code review

Structured prompts that ask for risks, line references, missing tests, and migration fallout.

AI-assisted documentation

Drafting workflows that convert code behavior into clear README, API, and release notes.

Test data and fixture generation

Generating edge cases for payloads, tokens, encodings, date formats, and parser failures.

Debugging workflows

A repeatable loop for reproductions, hypotheses, instrumentation, and final verification.

Local-first developer assistants

Patterns for useful browser-side helpers that avoid leaking sensitive developer data.

Evaluation checklists

Quality gates for judging AI output before it reaches production code or documentation.