The Architecture of Intention in Vibe Coding

You know that feeling when you’re trying to explain a complex idea to someone and you just can’t find the right words

That’s exactly where traditional programming has been stuck for decades

We’ve been trying to translate our intentions into this precise, unforgiving language called code

But what if we could skip that translation step altogether

Intent architecture changes everything by making our actual goals and desires the primary building blocks of software

Think about how you describe a feature to a colleague over coffee

You say things like “users should be able to find products quickly” or “the system needs to handle thousands of simultaneous requests”

Those are your intentions

In vibe coding flows, these intentions become the actual architecture

I’ve been experimenting with this approach for months now

Instead of writing functions and classes, I write clear descriptions of what I want the system to do

The AI then assembles the necessary components to fulfill those intentions

It’s like having a brilliant architect who understands exactly what you’re trying to build

One principle that guides this approach is treating intentions and interfaces as long-term assets

The actual code might change constantly as AI regenerates it

But your well-crafted intentions and stable interface contracts remain valuable over time

This shifts our focus from maintaining code to refining our understanding of what we actually want

Another key aspect is connecting all capabilities with standards

When intentions are clear and standardized, different AI systems can collaborate effectively

They all speak the same language of goals and constraints

The most fascinating part is watching AI assemble components based on capability descriptions

You define what needs to happen

AI figures out how to make it happen using available building blocks

Humans remain in charge of setting the overall direction and boundaries

But we’re freed from the tedious implementation details

This approach naturally leads to self-organizing micro-programs

Small, focused capability units that come together like building blocks

The system architecture emerges dynamically rather than being pre-planned

It’s more organic and adaptable

What surprised me most was how this changes verification

Instead of just testing code, we’re verifying that intentions are being fulfilled correctly

High observability becomes crucial because we need to see if the system is actually doing what we intended

The beauty of intent architecture is its accessibility

Business people can describe what they need in plain language

Technical teams can focus on maintaining the ecosystem and standards

Everyone contributes to creating software

We’re moving from software engineering to software ecosystem thinking

The focus shifts from individual projects to how everything works together

Standards, governance, collaboration patterns become the real challenges

Intent architecture isn’t just another programming technique

It’s a fundamental rethinking of how we create software

We’re building systems that understand what we mean, not just what we say

And that changes everything