Refactoring Podcast
How to Integrate AI in the Dev Process 🪄 — with Ori Keren
May 14, 2025
Ori Keren, CEO and co-founder of LinearB, shares over 25 years of expertise in developer productivity. He dives into the transformative role of AI in coding, testing, and team dynamics. Ori highlights how AI can alleviate bottlenecks and enhance productivity, while also addressing the necessity of cultural shifts in teams. He discusses the skepticism among developers, particularly between junior enthusiasm and senior caution. Ori wraps up with actionable strategies for integrating AI, stressing the balance between automation and human oversight.
47:21
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Quick takeaways
- AI is set to significantly enhance developer productivity, although initial adoption challenges may temporarily hinder performance until 2026 or 2027.
- Effective integration of AI into development processes requires careful planning and education to ensure code quality and maintainability amidst evolving workflows.
Deep dives
The Impact of AI on Developer Productivity
AI is expected to transform developer productivity significantly, though a temporary decline is predicted for 2025. This initial dip arises from the challenges of adoption, as teams face the complexities of integrating AI into existing workflows and managing a mix of old and new tools. As engineers navigate these changes, the anticipation is that productivity will stabilize and ultimately improve by 2026 or 2027. It's crucial for teams to embrace a structured approach to AI adoption rather than viewing it as a plug-and-play solution, enabling a more effective integration into the software development lifecycle.
