AI-Assisted Software Development: Team Profiles and Capabilities for Putting Research into Action
DORA's 2025 research maps AI adoption profiles: which team structures actually ship faster.
Why it matters
A major industry research foundation (DORA) has released organizational playbooks for AI-assisted development, bridging the gap between capability research and workplace deployment. Practitioners can use these team profiles to structure their own adoptions and avoid common pitfalls.
The key facts
9 to knowDORA 2025 research focuses on organizational system design for AI in software development
Research identifies specific team profiles and success capabilities for AI adoption
Framed as 'AI as amplifier' — returns tied to organizational strategy, not just tooling
Published by InfoQ; Ben Linders reporting on research-to-practice bridge
DORA 2025 research on AI in software development
Team profiles and success capabilities framework
Organizational system design as driver of AI ROI
AI positioned as an amplifier within org structure
Focus on moving research into practice/action
Go to the source
InfoQ AI/MLinfoq.com
Publisher excerpt: AI is an amplifier; strategic focus on the organizational system brings the greatest returns. DORA's 2025 research on AI in software development provides team profiles and success capabilities that can be used to put the research into practice. By Ben Linders