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Tra Hoang Trong

Kiro and Spec-Driven Development: from vibe coding to viable code

AI AgentsSpec-DrivenProductivityEngineering
Kiro and Spec-Driven Development: from vibe coding to viable code

From intent to implementation

Kiro and Spec-Driven Development: from vibe coding to viable code

If you’ve ever “vibe coded” (ship fast with AI, then patch until it runs), you’ve likely hit the same wall: lack of structure. As the project grows, nobody is fully sure:

Kiro positions itself clearly: “Bring engineering rigor to agentic development”—adding engineering discipline to agentic coding. Its core idea is spec-driven development: turning conversations into specs you can actually execute and validate.

Sources: Kiro homepage and the docs on specs.

1) A key shift: a prompt is not a requirement

Prompts are often vague:

“Make /project look better and filtering faster.”

Requirements must be verifiable:

Kiro tries to pull you out of “hope-driven development” by transforming prompts into requirements and acceptance criteria, then bridging into design and tasks.

2) EARS requirements: small, but powerful

Kiro uses EARS notation to force clarity.

Examples (illustrative):

You don’t have to be “perfect EARS,” but this style helps both humans and agents align on what “done” means.

3) Architecture before code

Kiro describes a flow like:

The goal is to replace “code to understand” with “understand to code.” For larger systems, this ordering usually accelerates delivery over the long run.

4) A task plan is the rail system

A good task plan usually includes:

Kiro calls this “discrete tasks that map to requirements” in the docs on task execution.

5) A lightweight way to apply this today

If you want the spec-driven benefits (even without Kiro), try this minimal loop:

Closing

Kiro isn’t just “a faster code generator.” It’s a way of working where intent becomes a spec first, and code is the implementation of that spec. If you’re scaling from a small portfolio project to something real, it’s a mindset worth trying.

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