Coding Agents Don't Scale Themselves. Neither Do Your Teams. — Patrick Debois, Tessl
Patrick Debois compares today's challenges with AI agents to the resistance against continuous delivery in 2009 — the technology works, but the organization isn't ready.
His point is that what makes the difference is not the agent itself or the prompts, but how the team, platform, and work processes change around it. Instead of fixing the agent's code, you should improve the system as a whole. It's about reducing the number of times a human needs to touch a task, and making improvements that benefit the entire team, not just one person.
Open on YouTube →
Vibekollen prepared this summary with AI from the original publication. The content belongs to AI Engineer.
