pair-programming-with-agent

To stop AI agents from over-engineering, define explicit interruption triggers and architecture guardrails before coding. Establish a human-navigator, agent-pilot model where the agent stops immediately upon proposing premature abstractions or off-plan work.

Inject domain context into AI coding sessions using structured templates that supply non-obvious business rules, infrastructure limitations, and compliance constraints. This prevents the agent from inventing assumptions and forces it to ask for context before proceeding.

You should take control from an AI coding agent when it hits disguised architectural decisions, lacks sufficient context, or attempts non-obvious business rule implementations. Use capability-based delegation boundaries to determine when active human judgment is required.

You can use TDD with an AI pair programming agent by applying capability guardrails to delegate test generation and refactoring. Maintain a does-well versus does-badly boundary table to ensure the agent executes tests within human-defined constraints.

The best way to align AI generated code with domain truth is enforcing structured domain context injection and explicit interruption criteria. This keeps the agent anchored to actual infrastructure limitations and business rules instead of vibe coding.

Prevent vibe coding by implementing a human-agent navigation framework with strict capability guardrails. Supply structured domain context and enforce stop conditions for over-engineering to ensure the agent executes within human-defined constraints.