TestMu AI Blogs

How to test Vercel preview deployments automatically: the deployment_status trigger, the protection-bypass header, and a real GitHub Actions workflow for E2E.

MCP security changes when a model, not your code, decides a tool runs. Covers prompt injection via tool results, tool poisoning, scoping, and supply chain risk.

OpenCode is MIT-licensed and provider-agnostic. Claude Code is managed and multi-surface. Licences, flags, headless modes, and verifying either one's output.

A merge gate built for agent-written pull requests: four layers, the skipped-check trap, who can bypass it, and how a real browser check fits into CI/CD.

What finance and healthcare teams should require from test automation: auditability, data residency, and human review gates, sourced from HIPAA and PCI DSS.

Windsurf became Devin Desktop in June 2026. What that means for a Windsurf vs Cursor comparison today, the real feature differences, and how to actually choose.

Pre-action checks for AI coding agents compared: permission modes, PreToolUse hooks, sandboxes, and branch rules, plus where each control fails in practice.

A vibe coding workflow built around the three stages that actually block a merge, plus survey data on why agent-written code needs different quality gates.

Coding agents catch mechanical faults in their own output but miss misread requirements, because code and test share one interpretation. What closes the gap.

Agent native, agentic, and AI native explained by what each term actually claims, plus a five-check test for proving a product is genuinely agent native.

Agentic E2E testing in 30 days: baseline your riskiest journeys, author self-healing tests, gate every pull request, and cut flaky failures using real data.

Claude Code Agent Teams explained: how to enable them, spawn and control teammates, teams vs subagents, real use cases, token costs, and troubleshooting tips.

Check Codex usage with /usage, /status, and /statusline, read the real limit tables by plan and model, track token usage in CI, and cut how fast you burn it.

Continuous verification proves AI-generated code behaves before it merges. Why green pipelines miss it, where the gate belongs, and how to keep it credible.

Executable specifications turn requirements into tests your build runs. Learn how they work, how they differ from test cases, and how to write and run them.

How to build an MCP server: architecture, STDIO vs Streamable HTTP transports, Python vs TypeScript SDK trade-offs, and step-by-step environment setup.

MCP vs API compared on discovery, state, and authorization, plus what the July 2026 spec revision changed and when to use each one in your AI agent stack.

11 QA bottlenecks that slow releases, how to measure which one is your real constraint, and the specific fix for each, with our own parallel-execution data.

Test automation vendors bill on six different units. See how each pricing model works, which costs stay off the quote, and how to normalize two rival quotes.

How Cursor rules work: where .mdc files live, which of the four rule types fires when, the surfaces rules never reach, and how to verify what Cursor writes.