Context

AI is most useful when it is integrated into the normal engineering loop instead of being treated as a separate side channel. My workflow keeps the terminal, version control, tests, and code review at the center, while AI tools help with focused execution and faster exploration.

Focus

• Breaking larger tasks into small, reviewable changes.
• Using coding agents for implementation support, refactoring, documentation, and test ideas.
• Keeping decisions visible through diffs, commits, and explicit verification steps.
• Combining AI assistance with manual review, shell tooling, and project-specific conventions.

Why it matters

The goal is not to replace engineering judgment. The goal is to reduce repetitive work, shorten feedback loops, and make it easier to move from idea to verified implementation.