I went from a team of over two dozen engineers to an AI-powered team of 6. Here's my advice for engineers told to embrace AI. (www.businessinsider.com)

Shivam Sagar, a senior engineer at Aragon AI, describes moving from a team of a few dozen engineers to a six-person AI-focused team and how that shift reshaped day-to-day engineering. In a small group roles blur—product, design and engineering merge—so engineers become generalists with more ownership and faster decision cycles. The team leans on AI to automate processes and accelerate work, but that speed comes with less built-in oversight: code review, design critique and QA must be made deliberate to avoid knowledge silos. Early on Sagar experienced heavier mental load and a steep learning curve, but gained clearer context, more intentional work, and the ability to act on user feedback quickly, which can rapidly reshape the roadmap. For the AI/ML community this signals a change in desirable skill sets and workflows: adaptability and rapid experimentation matter more than upfront perfection or narrow specialization. Small AI teams can iterate quickly around models, tools and priorities, so engineers should prioritize close user feedback loops, lightweight but consistent review practices, and continuous learning. The practical implication is that hiring and team processes should favor generalists who can integrate new AI capabilities, communicate constantly, and treat failures as fast learning opportunities rather than derailments.