TestMu AI Blogs

Claude Code vs Antigravity compared on autonomy, artifacts, rate limits, cost, and test quality, plus the verification gap that both coding agents leave open.

Agent-native architecture makes every capability discoverable, callable, and parseable by an AI agent. Learn the four properties and how to verify them in CI.

AI code hallucinations are invented packages, APIs, and logic that look real but are not. Learn how they happen, how to catch them, and the tools that help.

AI code security keeps AI-generated code free of vulnerabilities, leaked secrets, and unsafe dependencies. Learn the risks, how to secure it, and the tools.

AI testing tools read your test fixtures, DOM, and CI logs. Learn what SOC 2 actually covers, where it stops for AI, and the exact questions to ask a vendor.

Agent-written code floods the pipeline with volume and risk. Learn how to build CI/CD gates that verify AI code before it merges, and the practices that scale.

The TestMu AI QA Job Board is a free hub where QA professionals register one profile, showcase AI and automation skills, and get discovered by hiring leaders.

SaaS testing explained: tenant isolation assertions, entitlement and billing states, testing without a release candidate, and choosing a browser matrix.

Spec driven development explained: what makes a spec an AI agent can build from, the Spec Kit workflow, and the verification half most teams skip.

AI code review judges whether code looks correct; verification proves whether it works. See what each catches, where review fails, and how to combine them.

Claude MCP connects Claude to real tools through one open standard. Learn its architecture, primitives, setup, custom servers, and security in one guide.

Agent functional testing explained: how to derive test cases from a capability spec, partition natural-language inputs, and build a coverage model for agents.

Agent handoff testing catches context loss, orphaned tool calls, and delegation loops between AI agents. Learn the failure modes, assertions, and CI gates.

Make.com testing beyond Run Once: the bundle execution model, all five error-handler directives, testing routers and filters, and catching silent failures.

Pipedream testing done properly: extract code-step logic into pure functions, unit test them with no account, and catch the JSON serialization trap.

How to test an agent-to-agent (A2A) protocol implementation: agent card checks, task lifecycle assertions, the official TCK, and agent behavior testing in CI.

Human out of the loop testing explained: the five autonomy levels, the exit criteria that qualify a gate for unattended runs, and the evidence a run must emit.

Compare 7 Jira alternatives for test management on test case handling, traceability, automation results, and Jira sync, with a framework for choosing.

Power Automate testing done properly: environment strategy, all four Run after states, try-catch scopes, retry policy, and the solution import version trap.

Zapier testing beyond the built-in test step: build a staging Zap, contract-test the trigger payload, cover filter branches, and catch silent failures.