Core principles for effective AI agent collaboration: divide tasks, manage context, choose abstraction levels, automate patterns, and validate results.

• Decompose large tasks into small, explicit steps; AI performs 39% better on focused instructions than vague, complex requests
• Keep context fresh and single-purpose using separate conversations or HANDOFF.md documentation to avoid context drift and performance degradation
• Switch between high-level "vibe coding" for prototyping and deep-dive analysis for debugging, security, and production work based on task needs
• Automate any workflow repeated three or more times; use terminal integration, custom commands, and AI skills to reduce manual repetition
• Plan before executing (90% planning, 10% execution); validate outputs through tests, code review, draft PRs, and self-verification before committing changes