Agentic coding and persistent returns to expertise
Anthropic analyzed ~400,000 Claude Code sessions, finding that users make most planning decisions while Claude handles execution. Domain expertise, not coding background, is the key to success: expert-rated sessions achieve verified success over twice as often as novices, though intermediate users capture most of the benefit. Non-software occupations succeed at coding tasks within 5 points of software engineers. Over seven months, the share of debugging sessions fell from 33% to 19%, while end-to-end tasks like deployment, data analysis, and document writing grew, and estimated task value rose ~25%. The report details methodology for decision attribution, expertise classification, and success verification, along with limitations. Suitable for engineers and researchers interested in AI coding tools, agent collaboration, and skill transfer.