25. Testing and Quality Gates
Make AI-generated work prove itself.
By Jacques Botte, founder of Toptronic®. Last updated 19 September 2026.
The lesson
A quality gate is a pass/fail checkpoint before work is accepted. For code, gates include formatting, compiler, unit tests, integration tests, and manual review.
Ask AI to propose tests before implementing risky changes. Tests reveal whether the task was understood.
In TPEE Team workflows, plan approval and quality gates prevent a team from running fast in the wrong direction.
A junior QA analyst at a ticketing software firm defines a pass or fail gate of formatting, compiler check and unit tests before any AI-generated fix is accepted.
A test team lead at a payment processor adds a manual review of money-rounding code as a mandatory gate.
A quality engineer at a medical device manufacturer requires a documented trace from each test back to the stated requirement before release.
A build engineer at a telecoms supplier blocks merges when the integration test suite fails on AI-written changes.
A junior developer at a logistics platform asks the assistant to propose the tests before implementing a routing change.
A release manager at an electricity retailer sets a gate that refuses any change without a passing regression run.
A laboratory systems technician marks a quality gate as failed when an instrument parsing test does not reproduce the sample result.
A test lead at a rail signalling supplier requires human sign-off on any logic change before the gate can pass.
A junior automation tester at an online retailer writes a checklist of formatting, unit and integration checks for AI-drafted report code.
A production support engineer at a manufacturing plant defines a gate that every alarm-handling change must pass before it reaches the line.
Check yourself
Question 1: What is a quality gate?
- A theme menu
- A model name
- A shortcut key
- A pass/fail checkpoint before accepting work — correct
Answer: A pass/fail checkpoint before accepting work
Quality gates decide whether work can proceed.
Question 2: Why ask AI to propose tests before risky changes?
- Tests make prompts shorter always
- Tests hide bugs
- Tests reveal whether the task was understood — correct
- Tests are never needed
Answer: Tests reveal whether the task was understood
Test design exposes assumptions.
Question 3: What does plan approval prevent?
- Opening manuals
- Teams implementing bad plans too quickly — correct
- All human review
- Saving files
Answer: Teams implementing bad plans too quickly
Approval catches wrong direction before implementation.
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