AI Slashes Code Production Costs But Leaves Maintenance Burden Unchanged, Creating Dangerous Complexity Crisis

AI is slashing code production costs while maintenance burdens remain unchanged, creating a dangerous complexity crisis where systems like Wheelhouse generate 270 commits per day and 450+ governance artefacts, forcing engineering leaders to treat complexity as something that must earn its place or risk AI's productive power consuming itself.

• AI has drastically reduced the cost of producing code, tests, documentation, and governance structures, but the cost of owning, maintaining, and understanding these artefacts remains just as high as ever, creating a dangerous imbalance between production and absorption.
• A real-world example of an AI agent system called Wheelhouse is generating 270 commits per day and has produced over 450 governance artefacts, with the factory infrastructure now approaching the same size as the product it was built to support, illustrating how agent capacity naturally seeks utilization and can turn productive power back on itself.
• Engineering and organizational leaders must now treat complexity as something that must earn its keep by setting hard limits on internal machinery, requiring clear justifications for every rule or abstraction, and measuring success by real-world outcomes rather than volume of AI-generated output.