AI Coding Assistants Hit 90% Adoption but Introduce New Risks
Event summary
- Opsera's report analyzed data from 250,000+ developers on AI-assisted coding trends.
- AI coding assistants reached 90% adoption by end of 2025, with tech sectors leading.
- AI-generated pull requests wait 4.6x longer for review than human-written ones.
- Code duplication increased from 10.5% to 13.5%, and security vulnerabilities rose 15–18%.
- 21% of AI tool licenses are underutilized, resulting in wasted spend.
The big picture
AI-assisted coding is accelerating software delivery but introducing new challenges around code quality, security, and governance. Enterprises with automated CI/CD pipelines are realizing greater value from AI investments, while those with manual workflows face bottlenecks. The shift toward autonomous agents will require robust governance frameworks to ensure long-term success.
What we're watching
- Governance Dynamics
- How enterprises will address governance gaps to balance speed and risk in AI-assisted development.
- Tooling Evolution
- Whether emerging agentic tools can challenge GitHub Copilot's 60–65% market share.
- Industry-Specific Impact
- The pace at which regulated industries like healthcare and insurance will catch up in AI adoption.
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