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From Intent-Based Engineering to Intent-Driven Engineering: What Changed in One Year

  • Writer: Mark Kendall
    Mark Kendall
  • 3 days ago
  • 3 min read


From Intent-Based Engineering to Intent-Driven Engineering: What Changed in One Year




Intro



In early 2025, a new idea started gaining traction: Intent-Based Engineering (IBE).


The promise was compelling—developers could define what they wanted, and platforms would handle the rest. Less configuration. Less infrastructure overhead. More focus on building features.


At the time, it felt like a breakthrough.


But over the past year, something important happened.


Teams tried it.


And in doing so, they discovered a critical gap.


What emerged from that gap is something more complete, more practical, and far more powerful:


👉 Intent-Driven Engineering





What Is Intent-Based Engineering (IBE)?



Intent-Based Engineering (IBE) is an approach where developers specify desired outcomes—such as deploying a microservice with a database—without needing to manage the underlying infrastructure.


Instead of writing infrastructure code or configuring environments manually, developers interact with a platform (often via UI or CLI) that provisions everything automatically.


Typical flow:


  • Developer defines service requirements

  • Platform provisions infrastructure

  • CI/CD pipelines are generated

  • Monitoring and security defaults are applied



The goal is simple:


👉 Reduce friction and keep developers focused on building features


And to be clear—this was (and still is) a meaningful step forward.





Where IBE Fell Short



Once teams began implementing IBE in real enterprise environments, several challenges became clear.



1. It Solved Setup… But Not Execution



IBE made it easier to create services.


But what happens after deployment?


  • How do systems evolve?

  • How are failures handled?

  • How is behavior governed across environments?



👉 IBE focused on creation, not lifecycle





2. It Relied Too Heavily on UI Abstractions



Many implementations leaned on:


  • Guided portals

  • Wizards

  • “Click to create service” flows



This works for simple use cases.


But at scale?


👉 UI-driven systems don’t hold up in automated, multi-environment enterprise pipelines





3. It Lacked a Clear Operating Model



IBE didn’t fully answer:


  • Who owns the “intent”?

  • How is it versioned?

  • How do teams collaborate across domains?

  • How is governance enforced?



Without these answers, platforms became inconsistent across teams.





4. It Didn’t Bridge to Production Reality



The biggest issue:


👉 What works in a sandbox doesn’t automatically work in production


Teams could generate services quickly—but struggled with:


  • Observability integration

  • Security enforcement

  • Runtime consistency

  • Multi-system orchestration






The Shift: Intent-Driven Engineering



Intent-Driven Engineering builds on the idea of intent—but takes it much further.


It’s not just about defining outcomes.


It’s about making those outcomes:


👉 Executable, governed, and production-ready





What Is Intent-Driven Engineering?



Intent-Driven Engineering is a structured approach where intent is defined as a versioned, executable contract that drives the full system lifecycle:


  • Architecture

  • Code generation

  • Deployment

  • Runtime behavior

  • Observability

  • Evolution over time



Instead of stopping at provisioning, the system continues to operate on that intent across environments.





The New Model: From Idea to Production



Intent-Driven Engineering introduces a complete flow:



1. Intent Definition



Teams define intent in a structured format (e.g., YAML, JSON, or API-driven).


Example:


  • Service type

  • Dependencies

  • Performance requirements

  • Compliance constraints






2. Intent Compilation



The intent is interpreted and validated.


  • Missing dependencies identified

  • Security policies applied

  • Architecture decisions enforced






3. System Generation



The platform generates:


  • Infrastructure

  • Application scaffolding

  • CI/CD pipelines

  • Observability integrations






4. Deployment to Runtime



The system is deployed into real environments:


  • Kubernetes

  • Cloud platforms (AWS, etc.)

  • Enterprise integrations






5. Continuous Evolution



This is where Intent-Driven Engineering separates itself.


The system doesn’t stop after deployment.


  • Changes to intent trigger updates

  • Monitoring feeds back into decisions

  • Scaling and resilience are adjusted automatically



👉 The system evolves with the intent





Why This Matters



The shift from IBE to Intent-Driven Engineering is not incremental.


It’s foundational.



Faster Time to Market



Teams move from idea to production systems in days—not months.





Reduced Operational Overhead



Infrastructure, pipelines, and integrations are handled systematically.





Consistency at Scale



Every system follows the same governed patterns.





Real Production Readiness



Not just “it runs”—but:


  • Observable

  • Secure

  • Scalable

  • Integrated






True Engineering Leverage



Small teams can deliver what previously required large organizations.





The Real Insight



Intent-Based Engineering was never wrong.


It was just incomplete.


It introduced the idea that developers shouldn’t have to think about infrastructure.


But it didn’t go far enough.


👉 It didn’t turn intent into a system





Key Takeaways



  • IBE focused on simplifying setup

  • It struggled with lifecycle, governance, and production realities

  • Intent-Driven Engineering extends intent into full system execution

  • The result is faster delivery, stronger consistency, and real scalability






Final Thought



The industry is still catching up.


Many teams are still experimenting with abstraction layers, internal developer platforms, and prompt-driven workflows.


But the next step is already clear:


👉 Time to move beyond prompts.


👉 Time to move beyond provisioning.


👉 Time to move toward Intent-Driven Engineering.





Learn More



If you want to go deeper into how this works in real enterprise environments—including architecture, execution models, and production patterns:


👉 Read the full breakdown here:


👉 Get the full guide:





 
 
 

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