EPISODE · Feb 12, 2026 · 50 MIN
The impact of AI on software engineering and SaaS businesses
from Coding Chats · host John Crickett
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.Chapters00:00 Building a Loom Replacement in 30 Minutes03:40 The Challenges of SaaS Pricing Models06:29 AI's Impact on Small Businesses and Enterprises09:19 Interviewing in the Age of AI11:59 The Future of Coding and AI Integration26:45 The Importance of Clear Requirements28:31 Navigating AI in Development31:31 Feature Creep and Planning32:30 The Evolving Role of Engineers34:34 Workflow and Planning with AI38:45 Iterative Development and Feedback42:28 Leveraging AI for UX and Design45:59 The Future of Software EngineeringMike's Links:https://www.linkedin.com/in/michael-rispoli-ctohttps://x.com/michael_rispolihttps://www.instagram.com/mike_rispoli_ctohttps://michaelrispoli.com/John's Links:John's LinkedIn: https://www.linkedin.com/in/johncrickett/John’s YouTube: https://www.youtube.com/@johncrickettJohn's Twitter: https://x.com/johncrickettJohn's Bluesky: https://bsky.app/profile/johncrickett.bsky.socialCheck 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.TakeawaysMike 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.
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The impact of AI on software engineering and SaaS businesses
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