AI-assisted software development in 2025: Inside this year's DORA report
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Dec 11, 2025 Chris Westerhold, Global Practice Director for Engineering Excellence at Thoughtworks, dives into the transformative landscape of AI-assisted software development by 2025. He highlights how AI’s pervasiveness can either enhance or degrade quality if not measured carefully. Westerhold underscores the need for test-driven development and cautions about AI amplifying current practices, good or bad. He discusses the impact on junior developers, the importance of user-centric platforms, and the delicate balance of costs in adopting AI technologies.
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AI Mirrors Your Existing Practices
- AI acts as a mirror that amplifies existing practices and flaws.
- Fix complexity and knowledge gaps rather than just auto-generating more docs.
Build Structured Context, Not More Pages
- Invest in context-building artifacts like ASTs and knowledge graphs instead of raw docs.
- Add checks and balances to remove AI-induced waste and validate outputs.
Experiment Early And Learn Tool Limits
- Start experimenting quickly and learn tool tendencies and constraints.
- Understand new team workflows for validating increased code volume.
