Adoption & Trends
Adoption is high, but trust and consistency lag.
Observed Trends
Section titled “Observed Trends”- 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.
Ecosystem Signals
Section titled “Ecosystem Signals”- 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.
What This Means for Teams
Section titled “What This Means for Teams”- 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
Next Steps
Section titled “Next Steps”- Governance and Rollout - turn these trends into policy and rollout choices
- Security Risks - understand the threat model behind the controls
- Workflow and Stack Criteria - evaluate workflows after your constraints are clear
Sources
Section titled “Sources”- Sonar survey summary: https://www.sonarsource.com/blog/state-of-code-developer-survey-report-the-current-reality-of-ai-coding/
- DORA 2025 report: https://dora.dev/research/2025/dora-report/
- MCP documentation: https://modelcontextprotocol.io/