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API Testing in the AI Era

The challenge  AI-augmented development has enabled teams to ship code up to 10x faster, reshaping how testing needs to scale.   Traditional API testing methods remain linear, creating a growing backlog of validation work and a compounding “testing debt.” As code delivery accelerates, quality becomes the bottleneck, increasing the risk of defects reaching production and compromising application integrity.  The solution?  A …

Better object recognition: How to automate testing for complex applications with TestComplete

If you’re testing CAD applications, canvas-based interfaces, virtualized environments, or other complex UIs, you’re likely dealing with brittle tests that break constantly, critical workflows stuck in manual testing, and uncertainty about whether your releases are ready to ship.  When object recognition fails, the impacts affect your entire organization. Testing teams spend hours maintaining flaky automation …

AI-Native API Governance: Scaling Velocity Without Losing Control

AI is transforming API development at a pace existing governance wasn’t designed to handle. Whatever stage your testing maturity is at, those systems were built for human-paced development. When agents autonomously write, deploy, and consume APIs, a new category of risk emerges that conventional tooling wasn’t built to catch. The result? Breaking changes slip through. …

Demo Den: Build Fast, Test Smart with Agentic Test Creation

Every QA team faces the same challenge: test creation is time-consuming, maintenance is endless, and scaling coverage feels impossible. What if AI could handle it all? Join us for our May Demo Den: a focused 20-minute session where we demonstrate Reflect’s agentic test automation in real-world scenarios. Watch as AI agents navigate your applications, generate …