As Simon Willison observes, the primary impact of AI coding agents here appears psychological, reducing the perceived cost of entry and maintenance for brittle, personal projects. This arguably highlights a limitation of current AI-assisted programming: its most compelling use-case isn't displacing professional development, but in making fringe, high-friction tasks like reverse-engineering a smart plug feel more tolerable. The long-term test will be whether these agent-built automations prove robust enough to create sustained user value, or if they simply accelerate the cycle of hacking and abandonment. For the AI industry, this is a small but telling signal about where these tools find product-market fit.