GenAI coding agents can generate code far faster than teams can understand it, creating cognitive debt. Using a car-speed metaphor, three reasons to not let agents run at full speed are: safety (code nobody understands), self-imposed limits (e.g., requiring team comprehension before merging), and deployment pipeline congestion. The Autobahn and Formula 1 are examined as apparent counter-examples but ultimately reinforce the need to match speed to conditions. Safe agent speed varies per module based on factors like DDD domain type (core vs. supporting), hexagonal architecture layer, coupling/testability, Cynefin complexity, application scale, and how well the tech stack is represented in the model's training data.
Table of contents
You choose how fast the agent goes §Why I don’t drive at my car’s top speed §But what about the Autobahn? §And then there’s F1 §Understand the road, improve the road, improve the car §Understand the road: how fast can you drive it? §Summary §Need help with modernizing your architecture? §3.8K Impressions