
From Code to Intent: Rethinking How Teams Build Software
- Mark Kendall
- 1 day ago
- 3 min read
From Code to Intent: Rethinking How Teams Build Software
There’s a shift happening in how software gets built.
For years, teams have followed a familiar path: requirements turn into tickets, tickets turn into code, and code turns into deployments. But somewhere along the way, alignment gets lost. Teams drift. Context breaks. And “what we built” slowly diverges from “what we meant to build.”
What if we flipped that?
What if everything started—and stayed—with intent?
What Is Intent-Driven Development?
Intent-driven development is simple in concept:
Define what you want to achieve, and let every role in the system refine and execute that intent—without losing it.
Instead of translating ideas into fragmented tasks too early, intent becomes the throughline across the entire delivery chain.
It starts at the top.
It flows through every role.
And it ends in working software that still reflects the original goal.
A New Way to Structure Teams
In a traditional model, roles are siloed:
Business defines requirements
Leads create plans
Architects design systems
Developers write code
But in an intent-driven model, roles become layers of refinement.
The Flow Looks Like This:
Intent Origin (Client / Sponsor)
Defines the outcome
→ “We want users to interact with real-time location data.”
Intent Framing (Delivery Lead)
Adds clarity and constraints
→ “Fast, intuitive, sub-second response.”
Intent Structuring (Scrum / Coordination)
Breaks into testable slices
→ Map rendering, filtering, data ingestion
Intent Shaping (Architect)
Designs systems around the goal
→ Services, APIs, data flow, observability
Intent Execution (Developers)
Build, test, and validate
→ Code that directly maps to the intent
The key shift:
Everyone is working on the same idea, just at different levels of abstraction.
How This Plays Out in a Hackathon or POC
A hackathon is the perfect place to validate this model.
Instead of assigning tasks, you organize around intent.
Step 1: Define the Core Intent
Start with a clear, shared goal:
“Build a mapping app that allows users to visualize and interact with live data.”
Keep it visible. Keep it central.
Step 2: Form a Lean Team
You don’t need strict roles—just functions:
Intent Owner (defines and protects the goal)
System Thinker (designs structure)
Builders (implement and test)
Coordinator (keeps flow moving)
One person can play multiple roles. What matters is that each function happens.
Step 3: Let Intent Flow
Instead of jumping straight to tickets:
Refine the experience
Shape the architecture
Generate and test code
Continuously validate against the original intent
At every step, ask:
“Does this still align with what we set out to do?”
Step 4: Use AI as an Accelerator
AI becomes the bridge between layers:
Helps refine intent into clear requirements
Suggests architecture patterns
Generates code and tests
Validates behavior against expectations
But it doesn’t replace thinking—it amplifies it.
Step 5: Build, Validate, Learn
At the end of the POC, you’re not just demoing a product.
You’re answering:
Did intent stay intact from start to finish?
Did this reduce confusion and rework?
Did it accelerate delivery?
Does this scale beyond a hackathon?
Where Tools Fit In
This model doesn’t replace your tools.
It sits on top of them.
Cloud or local environments → execution
CI/CD → delivery
Kubernetes → runtime
AI tools → acceleration
The difference is:
Tools no longer drive the process. Intent does.
Why This Matters
Teams don’t struggle because they lack tools.
They struggle because:
context gets lost
goals get diluted
communication breaks between roles
Intent-driven development fixes that by creating:
alignment across the chain
clarity at every step
faster feedback loops
better outcomes with less friction
The Takeaway
This isn’t just a developer improvement.
It’s a team-wide operating model.
Intent flows top-down.
Implementation flows bottom-up.
And alignment happens in the middle.
If this works in a small POC or hackathon, it opens the door to something bigger:
A way of building software where everyone—from client to developer—is working toward the same thing, without losing sight of it.
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