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Adoption & Trends

Adoption is high, but trust and consistency lag.

  • AI coding is now mainstream in day-to-day development workflows.
  • Teams report a rising share of AI-assisted committed code.
  • Trust in output quality remains uneven, especially for high-risk changes.
  • Agentic workflows are becoming standard in IDE and CLI products.
  • MCP adoption is expanding across major vendors and open-source tooling.
  • Product pricing and model availability change quickly; static tables age fast.
  • Tool adoption is no longer the hard part; governance is
  • The bottleneck shifts from writing code to validating code
  • Tool/model policies should be reviewed on a fixed cadence