Studies show that medical specialists’ ability to detect lesions in endoscopy drops significantly when AI assistance is removed, and similar trials are underway in software engineering. Experts warn that over-reliance on AI can impair hard-won skills and call for research into ways to preserve human expertise.

• Polish endoscopy specialists' adenoma-detection rate dropped from 28.4% to 22.4% when AI assistance was switched off after they'd grown used to it.
• 70% of US nurses and 77% of physicians already worry AI reliance is eroding their clinical skills.
• Anthropic's trial with 52 software engineers found those who habitually used AI took longer and made more errors solving problems without it.
• Researchers like Yuichi Mori say there's no clear fix yet and want "deskilling" made a top research priority.

The article summarizes highlights from a podcast episode discussing recent advancements in AI and their impact on software engineering, particularly the emergence of coding agents. It covers topics like the inflection point in model capabilities, the changing role of software engineers, and the challenges faced by mid-career professionals.

• GPT 5.1 and Claude Opus 4.5 (released in November) marked a real inflection point where generated code became reliably functional rather than needing constant oversight
• The bottleneck in software development has shifted from writing code to testing it, since prototyping is now fast and cheap
• Running multiple coding agents simultaneously is mentally exhausting and risks burnout if overused
• Interruptions are now less costly to productivity since these tools let programmers pick back up quickly after breaks