Coding Chats episode 65 - Mike Rispoli discusses his experience of building a Loom replacement through vibe coding, the economic implications of AI for small agencies, and the evolving landscape of software engineering. He emphasizes the importance of hand coding, the challenges of interviewing in the age of AI, and the necessity of clear requirements when working with AI tools. The discussion also touches on the future demand for software engineers and the role of UX in AI-generated code.

Chapters

00:00 Building a Loom Replacement in 30 Minutes

03:40 The Challenges of SaaS Pricing Models

06:29 AI's Impact on Small Businesses and Enterprises

09:19 Interviewing in the Age of AI

11:59 The Future of Coding and AI Integration

26:45 The Importance of Clear Requirements

28:31 Navigating AI in Development

31:31 Feature Creep and Planning

32:30 The Evolving Role of Engineers

34:34 Workflow and Planning with AI

38:45 Iterative Development and Feedback

42:28 Leveraging AI for UX and Design

45:59 The Future of Software Engineering

Mike's Links:

https://www.linkedin.com/in/michael-rispoli-cto

https://x.com/michael_rispoli

https://www.instagram.com/mike_rispoli_cto

https://michaelrispoli.com/

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

Mike built a Loom replacement in just 30 minutes using vibe coding.

AI tools can significantly enhance productivity for software engineers.

The SaaS pricing model can be complicated for small agencies.

It's acceptable to pass on good candidates but not to hire the wrong ones.AI is likely to amplify the demand for software engineers rather than replace them.

Feature creep is a common challenge in software development.

Clear requirements are essential when working with AI tools.

The future of software engineering is promising and exciting.

AI can help engineers improve their design capabilities.

Navigating the evolving landscape of software engineering requires adaptability.