How to Get Your Org to Adopt Coding Agents (Without Shipping Garbage)

Official Schedule Context

AI coding agents promise 10x. On complex, production work inside a real org, the honest number is

2-5x — and getting there requires a journey most teams aren't prepared for. At Figma, we ship AI

products to millions of users, but internally our engineering org is spread across three stages of

adoption. The honeymoon, where AI is magic. The crash, where AI writes bad code and your best

engineers are stuck protecting the quality bar. And the real skill — 2-5x with disciplined

development practices and proper investment. This talk covers why adoption is uneven, what the trust

curve looks like from the inside, and what leaders can do about it: guide teams to align on plans

before generating code, set honest expectations, invest in the fundamentals that make codebases

agent-friendly, and create space for skeptics without judgment. You'll leave with a framework for

driving adoption more organically without mandating it — and without shipping garbage.

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