Coding Chats episode 60 - John Crickett and Paul discuss the transformative impact of AI on software engineering, exploring topics such as spec-driven development, the importance of small batches, and the challenges of requirements gathering. They delve into the evolving role of AI tools, the need for effective communication, and the balance between productivity and code quality. The discussion also touches on the future of AI in development, the significance of ownership in coding, and the potential for specialized AI agents to enhance workflows. Paul shares valuable tips for leveraging AI in software engineering, emphasizing the importance of joy, working in small units, and maintaining humility in the face of rapid technological change.

Chapters

00:00 AI in Software Engineering: A New Era

03:36 The Revelation of Prompt-Driven Development

06:08 Spec-Driven Development vs. Waterfall

09:16 The Importance of Small Batches in AI Development

12:05 Ownership and Responsibility in AI-Generated Code

14:57 The Challenges of Outsourcing and Communication in Software Development

20:15 The Future of Programming and Communication

23:38 AI Tools and Upstream Bottlenecks

27:18 Understanding JetBrains' AI Integration

31:40 User Experience and AI Interaction

35:42 Opinionated Workflows in Software Development

37:24 Finding Joy in AI-Assisted Engineering

Paul's Links:https://buildermethods.com/agent-os

John's Links:

John's LinkedIn: https://www.linkedin.com/in/johncrickett/

John’s YouTube: https://www.youtube.com/@johncrickett

John's Twitter: https://x.com/johncrickett

John's Bluesky: https://bsky.app/profile/johncrickett.bsky.social

Check out John's software engineering related newsletters: Coding Challenges: https://codingchallenges.substack.com/ which shares real-world project ideas that you can use to level up your coding skills.

Developing Skills: https://read.developingskills.fyi/ covering everything from system design to soft skills, helping them progress their career from junior to staff+ or for those that want onto a management track.

Takeaways

AI is revolutionizing software engineering practices.

Spec-driven development formalizes the way we instruct AI agents.

Small batches improve productivity and maintain context.

Ownership of code is crucial for long-term success.

Quality of code generated by AI is more important than quantity.

Effective communication is key in AI-assisted development.

Specialized AI agents will enhance the development process.

JetBrains is evolving its tools to integrate AI effectively.

Developers should find joy in their work, even with AI assistance.

Humility is essential as we navigate the future of AI in programming.