TestMu AI Blogs

Video agent testing runs a simulated candidate against your AI video agent, records the session, and grades it on criteria you write. Here is how it works.

AI agent observability explained: what to trace with OpenTelemetry, seven agent observability tools compared, and the practices that keep agents debuggable.

Multi-agent testing for agents that talk to agents: handoffs, MCP and A2A messages, loops. UC Berkeley's MAST study found that 41% to 86.7% of tasks failed.

AI test automation explained: a step-by-step tutorial, worked examples, self-healing and flaky-test coverage, plus best practices and limits for QA teams.

Learn how to write test cases effectively with a field-by-field walkthrough, real examples, weak vs. strong steps, and a ready-to-use template.

The best test automation frameworks include Selenium, Cypress, Playwright, Appium, and more. Compare 15 frameworks by language, category, and use case for 2026.

Test strategies are a crucial aspect of software development. Read the blog to learn about the strategies for starting test automation in an organization.

12 software testing practices that catch real bugs, from risk-based planning and PR testing to AI-native authoring and the metrics that prove your tests work.

Google Pixel 11 Pro and Pixel 11 Pro XL are live on TestMu AI Real Device Cloud on Android 17, before the August 20 retail date. Test your site and app first.

Conversational AI in healthcare: real use cases, the risks that reach patients, the CMS criteria it must meet, and a test plan that proves it is safe to launch.

A time travel simulator lets financial services teams create, advance, and validate future loan states on demand. Here is the architecture that makes it work.

A coordinated agent stack that plans, authors, and executes your entire test cycle. AI test case generation, 2-way Jira sync, and 1-click TestRail import.

LLM observability makes an LLM app's behavior visible in production through traces, evaluations, and quality signals. Learn what to monitor and how.

Move qTest projects, test cases, folder structures, custom fields, attachments, and Jira links into TestMu AI Test Manager in one click. No CSVs, no scripts.

qTest is an enterprise test management platform from Tricentis that stores test cases, organizes them into releases and cycles, and links requirements to tests and defects for coverage reporting. It functions as a system of record rather than a test runner, since the tests themselves execute in whatever framework or grid a team already uses.

Agent-first development explained: how it differs from AI-assisted coding, why traditional QA breaks, and what agent-native verification actually looks like.

See how TestMu AI's SmartUI skill lets an AI coding agent run Figma-to-code visual QA automatically, replacing the manual, tab-switching design review process.

AI code assistants for testing, compared across 11 tools: what each emits, which run your suite, where they fail on end-to-end, and how to verify the output.

Computer use agents drive software through screenshots and clicks. See how the agent loop works, what OSWorld scores hide, and how to test one before you ship.

Maestro mobile testing explained: how YAML flows work, the limits teams hit on flow order and JavaScript, and how to run Maestro flows on a real device cloud.