This blog post is a summary of my takeaways from GOTO Copenhagen 2026, regarding the question that ran through almost every talk I attended: how do we introduce AI into the way we build software in a way that makes us not only faster, but better too? These are my own takeaways and readings of the talks, and not necessarily the official positions of the respective speakers.

TL;DR: AI amplifies both the strengths and the weaknesses of whatever system it is introduced into. What it provides should be seen primarily as increased optionality, through the capacity it unlocks, as opposed to merely speed. If we want to maximize the return on our investment in AI, that capacity needs to be reinvested in how our teams build software. The teams that stand to gain the most are the ones willing to invest in building and maintaining the system that builds the system: the software factory, progressing from initial one-shot prompting towards supervising teams of agents that can increasingly verify and correct their own work.

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