Agentic coding and persistent returns to expertise

An Anthropic report on 400,000 Claude Code sessions and how expertise affects success.

Author
Zoe Hitzig, Maxim Massenkoff, Eva Lyubich, Shaoyi Zhang, Ryan Heller and Peter McCrory (Anthropic)
Published
16 June 2026
Kind
Company research report based on usage data
Original
www.anthropic.com/research/claude-code-expertise
Subject
Review, taste and expertise
Themes
Skill under automation

What it is

Zoe Hitzig and five co-authors wrote this Anthropic research report. It studies interactive Claude Code sessions from October 2025 to April 2026. It sets out a framework for what work is done and whether it succeeds.

What it says

What evidence it gives

Claude Sonnet 4.6 classifiers label about 400,000 sessions from about 235,000 people. Comparisons hold work mode, task value, month, subject and occupation group fixed. Over 90% of sessions labelled as code-creating showed code changes in telemetry. Success is judged from transcripts, using signals such as commits and passing tests.

Interests and limits

Anthropic wrote the report about its own product. The authors call the findings preliminary. Real-world outcomes, such as whether code was used, are not observed. All labels depend on a model reading transcripts. Headless and third-party usage is excluded. The main report was read in full, but the linked appendix was not fetched.

Connections

These links are this wiki's own reading, not claims the sources make.