Resources Center

AI Built Your API. Swagger Ensures It’s Production Ready

Tuesday July 7th, 2026 | 12:00 PM-1:00 PM EDT Ensure Production-Ready APIs AI coding assistants can generate APIs in minutes, but speed doesn’t guarantee production readiness. Without proper validation, testing, and governance, teams risk undocumented endpoints, inconsistent contracts, and growing technical debt. AI Built Your API. Swagger Ensures It’s Production Ready is an expert-led session taking …

How to Build an AI-Ready Open Banking API​

With PSD3 expected to come into force in 2027, now is the time to ensure your API foundations are built to meet both today’s requirements and tomorrow’s regulation. For European banks, the pressure to stay competitive and innovate has never been greater and API-powered digital workflows are at the heart of that transformation. In this …

API Performance Testing in the Age of AI-Generated Code 

As developers build and release APIs faster in an Agentic AI assisted world, many enterprises are having to reshape existing API testing to ensure their APIs don’t lose quality and scale. Existing functional tests and unit tests may not suffice in identifying API quality introduced via agentic development.  ReadyAPI’s performance test module can build an extensive test suite based off existing infrastructure to capture minute slow-downs or bottlenecks. By building these tests into …

Autonomous QA Live: BearQ Deep Dive and Fast-Track Trial Access 

As teams ship software faster, traditional test automation can struggle to keep pace. Coverage gaps widen, scripts break, and QA teams spend more time maintaining tests than ensuring quality.  SmartBear BearQ™ is SmartBear’s autonomous QA system built to continuously explore your application, learn how it behaves, generate and execute tests, and adapt as your application evolves.  See autonomous QA in action, then try it yourself  Join us for an exclusive deep dive into BearQ and see how …

How to Stabilize AI-Generated Test Suites with SmartBear Reflect 

Automating tests using an LLM can get expensive, fast.   Generating tests with tools like Claude, Cursor, or Copilot sounds great until the maintenance tax kicks in: brittle selectors, duplicated logic, and autofix loops that can burn through tokens with every flaky test – all work that requires developer time and focus. AI coding agents generate …

AI Development: Smarter UI Testing with TestComplete

Many teams are burning through expensive AI credits on test creation and maintenance when there is a smarter way. In this 30-minute demo, Vinnie Whyte, Senior Solutions Engineer at SmartBear, shows TestComplete in action alongside your AI development workflow. Keep your credits where they belong, accelerating development, not validating it. In this session you will …

Inside the SmartBear Roadmap, Vol. 2: Delivering Application Integrity Across the SDLC

The software landscape continues to evolve, and so does SmartBear’s vision for helping teams deliver quality at speed. Join SmartBear product leaders for the second installment of our roadmap series as we share a Now / Next / Later look at the innovations shaping application integrity across the software development lifecycle. You’ll get an inside …

Agentic API Testing: Authored, Governed, and Validated

Anyone’s AI can generate a test. The harder question is what happens after — when APIs change, tests break, and you need to know exactly what your agent touched, what it fixed, and whether the results can be trusted.  That’s the problem ReadyAPI MCP is built to solve.  Join us for this 20-minute deminar to see ReadyAPI’s Model Context Protocol (MCP) server in …