How to Stop Bugs from Slowing Down Software Releases

Defect management is the end-to-end process of capturing, triaging, routing, retesting, and closing software defects before they block a release. Most teams discover bugs fast enough — the delay comes in everything that happens after discovery: chasing reproduction details, clarifying which environment is affected, and confirming whether a fix actually holds before shipment. A fragmented… Continue reading How to Stop Bugs from Slowing Down Software Releases

How to Test MCP Servers with DeepEval

MCP server testing is the practice of validating that a Model Context Protocol server exposes the right tools, passes the right context, preserves session state across turns, and returns outputs an LLM can use correctly in real agentic workflows. For QA teams building AI products, this means testing not just API responses but complete tool-driven… Continue reading How to Test MCP Servers with DeepEval

How To Integrate Agentic Testing Into Your CI/CD Pipeline

At a Glance Agentic Testing in CI/CD: Where the Boundary Is and How to Cross It Cleanly AI drafts the tests. Playwright runs them. The CLI governs both. The boundary is strict: Agentic tools belong in the drafting layer — analysis, coverage planning, and script generation. Deterministic frameworks like Playwright or Selenium own execution. Mixing… Continue reading How To Integrate Agentic Testing Into Your CI/CD Pipeline

Continuous Testing Pipeline: Test Management for CI/CD

Key Takeaways Pipelines are ephemeral. Your test management layer shouldn’t be. A vendor-agnostic continuous testing pipeline is the only way to keep test history intact across CI/CD migrations. The delivery gap is widening: AI throughput is up 59% YoY, feature-branch activity is up 50%, but main-branch success has dropped to a five-year low of 70.8%.… Continue reading Continuous Testing Pipeline: Test Management for CI/CD