How can you test your code when you don’t know what’s in it?
About this episode
Ryan hosts Fitz Nowlan to discuss challenges in software testing amidst evolving AI technologies.
Ryan hosts SmartBear’s VP of AI and Architecture Fitz Nowlan to explore how we’re moving away from old assumptions about software development, the challenges of testing MCP servers as LLM-driven agents introduce non-determinism that breaks tradition, and how data locality and data construction are becoming more valuable when source code is so easy to generate. Episode notes: SmartBear gives devs tools for application performance monitoring, software development, software testing, and API management—all at AI speed and scale. Connect with Fitz on LinkedIn and email him at FitzNowlan@SmartBear.com Congrats to Great Answer winner Alexander for winning the badge for their answer to Is there a way to make Runnable's run() throw an exception? . TRANSCRIPT See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info .
People in this episode
Host: Ryan
Guest: Fitz Nowlan
Topics covered
- software development
- code testing
- AI
- non-determinism
- data locality
Keywords
- code testing
- software development
- AI
- MCP servers
- data construction
Mentioned in this episode
Organizations: SmartBear
More episodes of The Stack Overflow Podcast
- Your LLM issues are really data issues
- Lights, camera, open source!
- How to get multiple agents to play nice at scale
- We still need developer communities
- No country left behind with sovereign AI
- Who needs VCs when you have friends like these?
Explore listener stats, chart rankings, contacts and more on the The Stack Overflow Podcast podcast page.