TestMu AI Blogs

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.

Recognition accuracy is not evenly distributed across your speakers. See how to measure accent coverage, choose the cohorts, and read a gap you can act on.

Playing a cafe clip behind a prompt is not a noise test. See how to control signal-to-noise ratio, pick noise that breaks recognition, and read the result.

Barge-in decides whether a caller can interrupt your agent. See how to test the stop, where the overlapping words go, and why echo leakage breaks the test.

Disclosure and payment authorization are ordering duties. See how to build the fixtures, scenarios, graders and CI gate that turn them into a runnable suite.

For a FINRA member firm, agent output is a communication. See how to build the fixtures, graders, CI gate and run evidence that turn that into a test suite.

A scored call proves what a healthcare agent said about PHI. See how to build the fixtures, graders, test data and the CI gate that produces that evidence.

Barge-in is one interruption. Calls also drop, transfer and hand off mid-sentence. See how to test what survives when the session breaks rather than the turn.

Most latency numbers for voice agents measure different things. See where to start and stop the clock, what a human ear expects, and what a report must carry.

AI reliability engineering puts SLOs and error budgets on features that never repeat an output. See how to define the SLI, set a policy and degrade safely.

The Digital Omnibus moved the high-risk dates. See what Article 9 requires you to test, what prior defined metrics mean, and what a notified body can demand.

Inbound and outbound phone agents are two test problems. See what changes at turn zero, which legal duties you can assert, and how to split one phone suite.

LLM evals score a model. End-to-end agent testing gates a build. See what each one proves, where they disagree, and how to run both without duplicating work.

A pass-rate delta hides most of what a model upgrade actually changed. See how to measure churn, detect backend moves, and gate on cost and latency as well.

OpenAI says gpt-realtime scores just 30.5% on instruction following. Learn what to assert when testing an OpenAI Realtime voice agent, and how to gate it in CI.

Agentic SDLC and STLC diverge on one thing: verifiability. Learn what AI agents change in every phase, which exit criteria still hold, and how to adopt them.

The agentic testing life cycle points the QE loop at the agent itself. See the six phases, what a verdict proves, and the gap between tested and verified.

Test, develop, or just play: 15 iPhone emulators for PC, Mac, and cloud in 2026, what each one does best, what's free, and the trade-offs to know.

Compare 6 AI mobile app testing CLIs on what each returns to CI: device state, screenshots, or a pass/fail verdict. Verified commands, real runs, honest limits.

Compare 7 AI browser testing CLIs on what each returns to CI: page state, screenshots, or a pass/fail verdict. Verified commands, real runs, and honest limits.