How To Improve the Quality of the Gen AI-Generated Code And Your Team’s Dynamics

50 snips

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.

Ask episode

AI Snips

Chapters

Transcript

Episode notes

ANECDOTE

SaaS in Hours but Not Production

A developer quickly built a SaaS prototype with AI but cried realizing the code wasn't production-ready.
AI tools excel at prototyping but often skip crucial operational safety aspects.

INSIGHT

AI Amplifies Existing Processes

AI amplifies your development process, good or bad.
Fixing underlying process issues is essential before relying heavily on AI acceleration.

ADVICE

Supervise AI Like Junior Developer

Always supervise AI-generated code because it cannot yet handle complex tasks fully autonomously.
Developers must intervene to correct design flaws, test coverage issues, and maintain code quality.

Get the Snipd Podcast app to discover more snips from this episode

Get the app