AI Pair Programming Best Practices

AI pair programming is not just faster typing — it is a fundamentally different way of working. The developers who get the most value from AI assistants have developed specific habits and communication patterns. Here is what we have learned.

Think Out Loud

The best way to use an AI pair programmer is to think out loud. Instead of silently writing code and occasionally asking for help, narrate your thought process: I need to add pagination to this API. The current endpoint returns all results. I want cursor-based pagination using the createdAt field. This context helps the AI generate code that fits your intent rather than guessing.

Review Everything

AI-generated code should be reviewed with the same rigor as code from a junior developer. Read every line. Question the approach. Check error handling. Run the tests. The most dangerous AI code is the code that looks correct at a glance but has subtle bugs — off-by-one errors, missing null checks, incorrect error propagation. Speed without review is just faster bug generation.

Use AI for the Boring Parts

Direct your AI assistant toward the work you find tedious: writing boilerplate, converting data formats, generating test fixtures, writing documentation, creating migration scripts. Keep the creative and architectural work for yourself. This maximizes productivity while maintaining code quality where it matters most.

Establish Conventions Early

Create a coding conventions document that your AI can reference. Specify your error handling patterns, naming conventions, file organization, and testing approach. With clear conventions, AI-generated code integrates seamlessly with your existing codebase instead of introducing inconsistent patterns.

Know When to Stop

If you have gone back and forth with the AI more than three times on the same piece of code, it is faster to write it yourself. AI assistants excel at getting you 80% of the way there quickly. The last 20% — the edge cases, the performance optimization, the perfect abstraction — is often faster to do manually than to describe in enough detail for the AI to get right.