AI-Ready Codebases: Engineering Discipline for Agentic AI with Adam Tornhill

About this episode

Adam Tornhill discusses the impact of agentic AI on software engineering and shares strategies for ensuring codebases are AI-ready.

In this episode, Andi and Brian welcome back Adam Tornhill—founder of CodeScene and author of Your Code as a Crime Scene —to explore how agentic AI is reshaping software engineering. Adam shares his personal journey from 40 years of hands-on coding to orchestrating AI-generated code, and what this shift really means for development teams. Together, they dive into new research on the hidden risks of AI-assisted coding, why low-quality or legacy code slows AI down, and how to measure the “AI-readiness” of a codebase. Adam breaks down practical strategies from his latest work on Agentic AI Coding , including guardrails, refactoring patterns, enforced processes, and why test coverage has become a surprising cornerstone for safe, fast AI iteration. Whether you're experimenting with AI coding tools or planning enterprise-scale adoption, this episode delivers actionable guidance rooted in data, engineering discipline, and real-world experience. Links https://codescene.com/blog/agentic-ai-coding-best-practice-patterns-for-speed-with-quality https://codescene.com/blog/strengthening-the-inner-developer-loop-turn-ai-into-a-reliable-engineering-partner

People in this episode

Hosts: Andi, Brian

Guest: Adam Tornhill

Topics covered

• agentic AI
• software engineering
• AI-assisted coding
• code quality
• development teams
• engineering discipline

Keywords

• AI
• software engineering
• code quality
• AI readiness
• coding tools
• refactoring patterns
• test coverage

Mentioned in this episode

Organizations: CodeScene

Books & works: Your Code as a Crime Scene, Agentic AI Coding

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