I’m in a text group with 30 AI-pilled enterprise executives. Someone in the group asked: “What is the highest ROI AI use case/initiative in your business?” There were a ton of great answers, but mine was the 10x leverage engineers are getting from coding agents. A group member asked me to explain what I meant. So I slacked two of our engineering leaders and said “Why are you guys so cracked?” Here’s what one of them (@dan_zakon) said: Software engineering is becoming more unrecognizable every day. Historically, detailed system architecture planning was expensive and rarely done. “Agile development” became the industry buzzword to justify not planning upfront. Even the strongest engineers could not hold the whole file structure, code conventions, dependencies, edge cases, and product requirements in their head at once. Now we spend 95% of the time and effort planning and 5% executing. Over the past year at @tenex_labs, we’ve built custom tooling for structured engineering context that self-improves. It gives agents instant access to things like product intent, architecture, conventions, delivery workflows, and plans. With this process, we use agents to map out whole systems far in advance with a level of coherence that used to be impossible. Then the system can almost assemble itself. Long-running agents execute against the plans, implement scoped work, adhere to conventions, run tests, fix issues, update GitHub, sync Linear, refresh documentation, and revise the original plans as progress is made. The result is a fundamentally different operating model for engineering. Across Tenex, we are consistently proving it with small teams that are building complex, ambitious products in months. Work that used to require huge teams, multi-year timelines, and massive coordination overhead is now becoming the baseline for what small, elite engineering teams can take on.