Spec-Driven Development: A Better Way to Build with AI
AI coding tools promised faster development. But too often, they lead to endless review cycles and rework that slow teams down instead.
The problem? The wrong tools and the wrong approach.
A new standard is emerging: Spec-Driven Development. Let’s explore what it is, why it works, and how your team can start using it today.
In this episode, join me and Relevantz as we explore the processes and tools your dev teams should follow when coding with AI.
What Is Spec-Driven Development?
Spec-driven development doesn't abandon the conversational nature of working with AI—it abandons the lack of structure.
It's vibe coding with scaffolding:
Clear requirements before you start
Focused tasks instead of sprawling requests
Verification steps between each chunk of work
Think of it like giving directions. Traditional vibe coding says, "get to the airport" and hopes the AI figures out the best route. With spec-driven development, you're in the passenger seat giving one clear turn at a time. The AI executes each step, then waits for the next direction.
Less room for wrong turns, less hallucination.
The Four-Step Process
Most spec-driven tools, like GitHub Spec Kit, follow this framework (simplified here):
SPECIFY
Define what you're building, where you're building it, and why. This generates high-level requirements for your project or initiative.
PLAN
Detail the how: what technologies, frameworks, and architectural approaches you'll use to build the solution.
TASKS
Instruct the tool to break down the spec and plan into manageable chunks. For employee management functionality, for instance, it would create separate tasks for each CRUD operation (create, read, update, delete) instead of one massive "build the whole thing" directive.
IMPLEMENT
Ask the coding assistant to implement these tasks one at a time, and it will based on the functional and non-functional requirements you've outlined.
Why This Matters for Your Business
Your competitive advantage comes from your unique domain knowledge. Coding assistants might know how to recreate Slack (it's well-documented everywhere), but your specific business logic? This knowledge isn't available in any AI's training data.
Spec-driven development ensures AI builds your solution with precision, not a generic approximation. Your developers stay in control, reviewing manageable chunks instead of wrestling with sprawling, hallucinated codebases.
Getting Started
Several tools now support spec-driven development:
The most established option and what we use
The tools are ready. The challenge? Shifting your team's mindset from ad-hoc prompting to structured specification.
Don't Get Left Behind
The industry is moving fast. Microsoft, GitHub, Amazon, and Google have already made spec-driven development a core part of their AI strategy. Early adopters are seeing measurable improvements in code quality and team productivity.
Ready to actually accelerate development? Contact me at tino.mantella@relevantz.com for a complimentary consultation.
We attended Dreamforce 2025, where Salesforce demonstrated Agentforce Vibes: a tool that lets business users build AI apps through conversation. We're already exploring how to leverage this for our Salesforce customers.
We just concluded RDevX, where our global teams came together to share breakthrough ideas, collaborate on real-world solutions, and showcase innovative thinking.
RDevX is one of the ways we ensure our engineers stay ahead of industry shifts—which means our clients get solutions built on the latest, most effective practices.
