How Todoist Is Rethinking Engineering With AI
About this episode
Goncalo Silva discusses how AI is transforming software engineering practices at Doist.
AI can generate code faster, but that does not make software delivery simple. It shifts the pressure to requirements, architecture, review, and technical judgment. Goncalo Silva, CTO at Doist, explains how AI is changing the way teams behind Todoist and Twist build software. He shares why greater individual autonomy has led to more collaboration, why deep expertise still matters, and how faster execution is reshaping product delivery, project planning, and engineering hiring. What Leaders Can Take From This • Faster code generation makes strong planning and clear requirements more important, not less important. • Designers, product leaders, and engineers can work from richer prototypes, but production systems still need experienced technical judgment. • Engineering capacity does not have to move into other functions. Teams can use it to improve reliability, performance, quality, and the amount of valuable work they ship. • Token counts are a weak measure of progress. Doist looks at team feedback and whether projects are staying on track. • Engineering interviews need to test architecture, decision making, curiosity, and depth, not simply whether a candidate can produce working…
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