Teaching AI the "Manners" of Your Code ── Designing Team Development That Balances Quality and Speed

On our team, after adopting an AI coding agent, we could write code faster — but we kept running into the same problem: code that didn't follow our team's coding style triggered repeated review comments and revisions, and our reviews piled up. Even when AI speeds up the work, if your team's own style isn't conveyed to it, quality and speed remain a rade-off.

We overcame this by putting our lead engineers' tacit knowledge into words as a style guide, and teaching the AI to understand our team's coding rules. In this session, we'll share how we extracted that design philosophy, how we built AI into every step from implementation to review, and how the system keeps improving as we operate it — all backed by real data.

Rather than being tied to any specific tool, we'll introduce this as a general framework that any team can reproduce.