APIs At AI Speed And Scale: A 90-day Plan For Application Integrity (Nov. 3rd)
Tuesday, November 3rd, 2026: 11:00 AM to 12:00 PM
In this fireside chat, analyst Mitch Ashley (Futurum Group, host of DevOps Chats) and Justin Collier - Vice President, Product Management, SmartBear, explore how to keep application integrity intact as AI multiplies how much software you ship and how fast.
Virtual
AI now writes or accelerates at least 41% of the code at 65% of organizations, and 63% of teams already run AI agents in production. Confidence is running ahead of evidence. 46% of teams have shipped AI-generated code that later failed in production, and 48% of APIs drift from tested behavior within 90 days. Teams pay for it in rework, outages, and missed release dates, and API incidents cost an average of $700K a year, reaching $1.8M for the hardest hit.
They'll cover where production confidence breaks today: specs AI builds from before anyone validates them, mocks that miss how real services behave, and load limits that only show up in production. Then they'll lay out a practical path to faster releases with fewer production surprises, grounded in results teams are already seeing.
Key Takeaways:
- How to spot where AI development speed is eroding your API quality
- What it actually costs when API problems reach production instead of getting caught before it
- How contract testing and service virtualization give you realistic dependencies, closing the gap behind 40% of production incidents
- A 90-day roadmap for functional, performance, contract, and virtualization testing that scales with AI generated code instead of becoming the bottleneck
- What it looks like in practice, from companies cutting a 100-test run from 6 hours to 20 seconds to creating tests 80% faster
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