How to Ship With AI: The Acceptance Test AI Can't Fake

Engineering with AI, your unit tests pass, CI is green, the AI code review approved the PR - and the bug the spec would have caught still ships. Here's the one test AI can't fake.

The gap between "we tested it" and "it works" is widening with AI, not closing. The fix isn't more tests. It's one acceptance test, written a specific way, that maps AI-generated code back to what the business actually asked for - the alignment layer that lets you ship with AI without shipping the gap.

I break down:
- Why every other test (unit, integration, AI code review) breaks under AI — they mirror the code, not the spec
- Acceptance tests as ALIGNMENT DIAGRAMS — a frame from Jim Kalbach's "Mapping Experiences"
- The 3-layer structure (Test Case → DSL → API) that keeps the alignment durable across AI rewrites
- Separate-context discipline - the rule that stops AI from gaming its own tests
- The leader's decision: how to install the alignment layer on a team that's been ship-and-praying with AI

I run Team Brilliant - 20 senior engineers shipping with AI to client products every day. This is the only pre-prod check I trust on real AI-shipped work.

⏱️ CHAPTERS
0:00 Intro - the test AI can't fake
1:30 Part 1: Why every other test breaks under AI
3:03 Part 2: Acceptance tests as alignment diagrams (Mapping Experiences)
5:25 Part 3: The three-layer structure (Test Case → DSL → API)
7:55 Part 4: Separate context — the AI-era discipline
9:50 The leader's decision

🔗 RESOURCES
- "Mapping Experiences" - Jim Kalbach
- My original Automated Acceptance Tests deep-dive (the wiring for engineers): https://www.youtube.com/watch?v=tv7B7bFsxh4

🚀 WORK WITH US
Want this installed on your team - acceptance tests set up, the DSL layer right? That's what we do at Team Brilliant. Free strategy call: https://teambrilliant.ai/call

#EngineeringWithAI #ShipWithAI #AcceptanceTesting #AICodeReview #SoftwareEngineering

Видео How to Ship With AI: The Acceptance Test AI Can't Fake канала Alex Kurkin