Step 1
Choose the integration point
Decide whether you need editor autocomplete, chat, repository-aware agents, or terminal automation.
AI for this task
Write and review code with AI
AI coding works best when the tool has enough context to understand the repository, constraints, tests, and expected behavior. Start with the development environment and workflow instead of chasing a single model.
Last reviewed: 2026-10-02
A practical workflow
Step 2
Give repository context
Include relevant files, conventions, tests, and acceptance criteria so generated changes fit the codebase.
Step 3
Verify with tests and review
Treat generated code as a draft. Run tests, inspect diffs, and review security-sensitive changes.
Tools and next actions
Questions about this workflow
Which AI coding tool is best for a large repository?
Look for repository context, controllable edits, test integration, and reviewable diffs. The right choice depends on your editor and workflow.
Can AI coding tools replace code review?
No. They can accelerate implementation and review, but correctness, security, architecture, and production impact still need verification.