Sdlc

A harness can stop unsafe code from shipping, but it cannot tell an agent that an integration already exists, which domain rule applies, or why an architecture decision was made. Context engineering makes that knowledge available when the agent needs it.

AI can increase the number of changes entering delivery. Architecture, security, and compliance review capacity does not automatically increase with it.

More approval gates will not solve that constraint. Teams need clear risk criteria, automated evidence, and accountable human decisions where the consequences warrant them.

You adopted spec-driven development. You write specs now, you’re careful, you also review them. You generate code from specs. You stopped doing “only” vibe coding.

It works better than before. But it’s still not… right.

Then you realize: you’re doing SDD without harness engineering. Specs aren’t enough. You need enforcement.

Vibe coding is what happens when you treat AI as a code typewriter instead of a partner.

You skip the specs. Skip the design thinking. Skip telling the AI what your architecture actually is. Then you’re shocked when:

• Hallucinations stack — The AI guessed once. Now that guess is “the pattern.”
• Knowledge vanishes — Nobody wrote down why. Good luck when the person who prompted it moves on.
• Quality has no guardrails — You’ll find the bugs after deployment, not before.