Tales From The PROS
In this episode of Tales from the Pros, hosts Michael Georgiou and Eric Lawrence are joined by Gal Vered, co-founder and CEO of Checksum AI, to break down one of the biggest bottlenecks in modern software development—fixing bugs and ensuring code quality in an AI-driven world.
AI can now generate software faster than ever. You can build features, ship MVPs, and even spin up entire applications in minutes. But speed introduces a new problem. How do you verify that the code actually works? And more importantly, how do you trust it in production?
The conversation cuts through the hype around AI coding and focuses on what really matters. Quality, testing, and verification. Gal shares insights from his experience at Google and building Checksum AI, explaining why most teams get stuck in endless bug-fixing loops, how AI can compound bad code patterns, and why strong testing systems are the only way to enable truly autonomous software development.
If you're building software with AI, struggling with bugs, or trying to scale beyond MVP without breaking everything, this episode gives a practical look at what it actually takes to ship reliable software today.
🎯 Highlights You Won’t Want to Miss
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Spotify: https://open.spotify.com/show/6QkUtrcNllUkqtq1fjlwnZ
Apple Podcasts: https://podcasts.apple.com/us/podcast/tales-from-the-pros/id1371067192
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💡 Key Takeaways
🗂 Topics We Cover
⏱️ Chapters
00:00 The hidden bottleneck in software development
05:10 AI-generated code vs real-world reliability
11:30 Why testing is the missing layer in AI coding
18:40 Escaping the bug-fixing loop
26:00 AI hype vs enterprise reality
33:20 Code quality, edge cases, and human thinking
40:00 The future of software testing and AI engineering