The InfoQ Podcast
How To Improve the Quality of the Gen AI-Generated Code And Your Team’s Dynamics
May 5, 2025
Birgitta Böckeler, Thoughtworks’ Global Lead for AI Assisted Software Delivery, dives into the transformative potential of generative AI in coding. She discusses how to enhance code quality by providing better context and emphasizes the evolving dynamics within tech teams. The conversation covers the balance between human oversight and AI capabilities, the risks of automated code generation, and the importance of mentorship for junior developers. Birgitta also highlights the necessity for robust security practices in navigating the AI landscape.
42:29
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Quick takeaways
- Enhancing AI-generated code quality requires adapting existing Software Development Lifecycle practices to maintain oversight and ensure high standards.
- The adoption of AI coding assistants will evolve team dynamics, emphasizing collaboration and continuous learning among developers to mitigate risks associated with automated coding.
Deep dives
Integrating AI into Development Practices
Integrating artificial intelligence into software development is rapidly evolving, with tools that enhance coding efficiency becoming increasingly prevalent. Developers now have access to advanced coding assistants that can significantly reduce the back-and-forth traditionally required in coding tasks. Tools like GitHub Copilot and new entrants such as Cursor and Windsurf can access IDE features directly, allowing them to generate code, run commands, and adapt based on real-time feedback like linting or compile errors. This shift potentially positions AI-assisted tools as valuable partners, navigating complex coding environments with increasing autonomy.
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