From Vibe Coder
To Product Builder
Learn the skills you need to guide AI to build production-ready, maintainable apps.
Learn
Start your transition from Vibe Coder to Product Builder
Explore
Explore the many apps built using AI and Spec Driven Development
Build
Build your app the right way with AI and the Cody Framework
About Cody
Cody, a spec driven development framework, turns raw ideas into actionable plans. It guides you through discovery, requirements, and implementation so you know what to build and why, before AI starts coding.
Build with Structure
Cody breaks projects into manageable versions. It organizes your backlog, tasks, and retrospectives so you can move fast, stay aligned, and iterate without chaos.
Collaborate with AI
Cody works inside your AI coding tools; Claude Code, Cursor, Gemini CLI, Copilot, and more. It keeps you, your team, and your AI assistant in sync without stifling creativity.
Frequently Asked Questions
Vibe coders are people who use AI to build software without writing code themselves.
- You have great ideas but may lack traditional programming skills.
- You work by telling the AI tools what you want, iterating through conversation, experimentation, and intuition until something works.
- You’re energized by the creative process and the speed at which you can bring ideas to life.
- You create prototypes, validate ideas, and solve real problems. But you often hit walls when projects grow, requirements change, or you need to maintain what you’ve built.
When that happens, it’s time for you to become a Product Builder.
A Product Builder also doesn’t write code, AI handles that. But they use structure, frameworks, and systems thinking to guide the AI. They build consistently, efficiently, and at scale by understanding architecture, the SDLC, and how all the moving parts connect to deliver production-ready, maintainable apps.
Product Builders are:
- Strategic thinkers who plan before they build and understand the “why” behind every decision
- Systems architects who see how components connect and design for scalability from the start
- Solution-oriented problem solvers who focus on outcomes, not just features
- Structured and methodical in their approach, using frameworks to maintain quality and consistency
- Collaboration-ready because their work is documented, organized, and understandable to others
- Future-focused builders who create apps that can evolve as needs change
In the near future, coding with AI won’t just be for developers, it’ll be a core skill for anyone who needs to turn ideas into working software quickly.
- Product Managers will validate features and build prototypes without waiting on engineering sprints.
- Business Analysts will transform requirements into functional demos that stakeholders can actually interact with.
- Marketing Managers will create custom tools, dashboards, and campaign microsites on demand.
- Content Strategists will build interactive experiences and content platforms tailored to their audience.
- UX Designers will prototype real, working interfaces, not just mockups, to test with users.
- Project Managers will spin up project tracking tools, automation workflows, and team dashboards customized to their process.
The common thread? These roles already understand problems, users, and systems. AI removes the technical barrier, making “builder” a natural extension of what they already do.
The question isn’t if you need this skill, it’s when your organization expects you to have it.
You can build real-world, production-ready applications across many domains using AI tools including:
- Web applications using modern frameworks like Hugo, React, or Vue
- Mobile apps for iOS and Android
- APIs and backend services with proper database design
- Marketing tools and landing pages
- Internal business tools and automation
- SaaS products from MVP to full-featured platforms
But this means transitioning from being a Vibe Coder into a Product Builder.
Want to see some profesionally built apps using AI? Check out our App Gallery!
Spec Driven Development (SDD) is an approach where you, along with AI, start by clearly defining what you’re building before AI writes any code. It centers around creating structured specifications, like feature definitions, user stories, and requirements using AI, that guide every stage of the development. By doing this, you and AI share the same understanding of the product, reduce AI rework, and make it easier to move from idea to implementation efficiently and consistently.
There are various frameworks today that support Spec Driven Development, including our very own, Cody Framework.
