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 tests fast, but without the infrastructure to keep them stable, speed just scales the mess. 

SmartBear Reflect solves this by providing more stable agentic test automation that reduces maintenance effort and saves you from running through your AI tokens.  

Join our upcoming webinar where we’ll show you how Reflect works alongside your AI tools, like Claude and Copilot, to reduce maintenance burdens and to stabilize testing. Using the SmartBear MCP server, we’ll show you how to trigger and manage production-grade test automation without leaving your AI coding environment.

What we’ll cover: 

• Live Q&A with a SmartBear product expert 
• Why test suites generated with an LLM can break down: costs in tokens, engineering time, and test ownership 
• How Reflect keeps tests stable and saves on maintenance: with agentic capabilities usable by developers and manual testers alike 
• Live demo: How to use Reflect via the SmartBear MCP server directly from your coding environment 
  

Sign up even if you can’t attend – you’ll get a recording of this event!