Enable AI agents to emulate user's coding style

I Stopped Fighting AI Coding Agents—And Worked With Them Instead After lots of frustration with coding agents creating bloated, duplicated code, I discovered something that completely changed my approach. The problem? I was trying to make AI agents write clean code from the start. They're terrible at this. Every bug fix becomes three new functions. Every feature spawns duplicate methods across files. But here's what I learned: AI agents are surprisingly good at identifying code bloat—they're just bad at preventing it. This led me to develop what I call the Two-Phase Approach: Phase 1: Build Fast Let the agent focus purely on functionality Accept duplication and bloat as temporary debt Don't interrupt with style feedback Guide only when completely stuck Phase 2: Refactor Smart Start a fresh session for analysis Ask specific questions about redundancy Design architecture before implementing changes Leverage the agent's pattern recognition strengths Real Results: On my recent server shutdown system project, this approach resulted in: +1,440 lines added (initial messy implementation) -5,772 lines removed (systematic cleanup) Net reduction: 4,332 lines (75% code reduction!) The key insight? Instead of fighting AI tendencies, design workflows that amplify their strengths while mitigating weaknesses. I've written a detailed breakdown of this methodology, including the exact prompts I used and step-by-step implementation guide. What's your experience with coding agents? Have you found strategies that work better than constant micromanagement? Read the full article: https://lnkd.in/gzP6QAUn