🤖 AI in Software Development: Real World Testing & Reality Check
Join Matt Watson and software veteran Joe Giglio in candidly exploring AI coding tools' current capabilities and limitations. Through hands-on testing and real-world examples, discover the truth behind the hype and what these tools can deliver for development teams.
In this discussion, Joe shares insights from months of testing various AI coding tools, from GitHub Copilot to Cursor, revealing their impressive capabilities and significant limitations. Learn why AI remains a productivity tool rather than a developer replacement, and understand the crucial context marketing headlines often miss.
🔗 Essential Links (Start Here!):
Full Episodes: https://product-driven.captivate.fm/episodes
Connect with Matt Watson on LinkedIn: https://www.linkedin.com/in/mattwatsonkc/
Subscribe to our Newsletter: https://newsletter.productdriven.com/
Powered by Full Scale: https://fullscale.io/
Connect with Joe Giglio on LinkedIn: https://www.linkedin.com/in/joegiglio/
Or find him on Twitter: https://x.com/ChiefRemote
Key Discussion Points:
🎯 Real-world AI coding tool experiments
💡 Limitations in complex project scenarios
🔄 Testing automation challenges
âš¡ The reality of AI hallucinations
📊 Future potential and current constraints
🌱 The importance of developer expertise
Chapters:
0:00 - Introduction and AI testing background
1:27 - Complex project challenges
4:30 - Non-developer experiences
7:28 - Test automation experiments
10:14 - Prompt engineering realities
13:09 - Tool limitations and bugs
15:49 - Real software development context
18:04 - Future possibilities discussion
Transform your understanding of AI's role in software development by joining our community of practitioners who separate AI fact from fiction.
