GoCodeo’s open-source AI-native framework automates full-stack SaaS app development using autonomous AI agents. Skip boilerplate, generate apps from prompts, and launch production-ready SaaS apps with just one command.
Like many of you, I’ve started countless projects with excitement… only to get bogged down by setting up boilerplate code, wiring up auth, spinning up databases, and configuring deployments. The repetitive setup kills momentum before the real building even begins.
That’s what led us to create saas-builder, an open-source, AI-native CLI that takes you from an idea to a full-stack SaaS scaffold in minutes. Powered by LLM agents, saas-builder is a first step toward agentic software development workflows.
BUILD: AI-Generated SaaS Stack
We wanted to reimagine the starting point of every product, not with cookie-cutter templates, but with intelligent scaffolding built for speed:
✅ Fully responsive Next.js frontend from UI Agent
✅ Supabase Auth setup via Auth Agent
✅ Database schema, migrations & types from DB Agent
✅ Package installs and folder structure by Terminal Agent
✅ Local dev launch via Browser Agent
Just run saas-builder init and describe your app. The agents do the rest.
Why We Built It
We got tired of repeating the same setup across every hackathon, weekend project, and MVP sprint. But more than that, we’re curious about what it means for AI to become not just a co-pilot, but a team of autonomous, open-source collaborators.
What You Can Do
✅ Try it, break it, fork it
✅ Suggest new agents or workflows
✅ Tell us what you'd need to use this for your next build.
SaaS-Builder is still early and that's the exciting part. We’re building it in the open and would love your feedback. I’ll be around all day to answer questions and jam on ideas. Let’s push the boundaries of what devtools can be together!
🔥 This is such a refreshing take on the boilerplate problem — especially love how you’re going beyond just templates and into agentic scaffolding. The split across UI, Auth, DB, and Terminal agents feels really intuitive and sets up a future where “developer as orchestrator” becomes the norm.
Running saas-builder init and having an actual stack ready to iterate on? That’s a game-changer for indie hackers, hackathon sprints, and even early-stage teams.
Excited to see how this evolves — curious if you plan to support more deployment targets (like Vercel, Railway, etc.) out of the box? Great work! 🙌
I've been using Gocodeo's SaaS Builder internally and really appreciate how focused it is. It handles the core pieces of a SaaS app, UI, auth, DB, without getting in your way or making generic assumptions like most AI tools tend to do. Just works straight from the terminal and keeps things predictable.
The Supabase integration is a highlight for me, gives you a solid backend setup with zero hassle. Also love that credentials are stored locally by default, feels like a small detail, but it makes a big difference from a security and DX standpoint.
Been hands-on with GoCodeo’s SaaS-Builder CLI this past week, and honestly, it’s one of the few tools that genuinely speeds things up without cutting corners.
Here's what stood out the most:
UI Agent → Generates a clean, responsive Next.js frontend in seconds. No tweaking layouts, no config rabbit holes, it just works.
Auth Agent → Sets up full Supabase Auth (signup, login, session management) out of the box. Saved me at least a day of manual setup.
What I love as a contributor is how the agents operate more like collaborators than scripts. It’s the first CLI I’ve used that actually feels like it’s working with me, not just for me. If you’re kicking off a new SaaS app, this is worth a spin.
@meghana_jagadeesh11 Looks interesting. Are we there yet? What are some example projects made out of this?
Congrats on the launch Meghana! Any plans to introduce a GUI layer for non-CLI users? I liked the recently launched Firebase studio because it has a very simple UI, but its way too dumb so I discontinued using that. Excited to see where this goes!
Working on SaaS-Builder, one of the things I’ve really come to appreciate is how much smoother it makes the initial setup. You don’t have to piece together a Next.js + Supabase stack manually, the agents take care of everything, from auth to real-time to typed DB layers.
What’s been especially rewarding to see is how well the agents work together. Each one knows exactly what it’s supposed to do, and they stay out of each other’s way, which makes the whole process feel super clean and intuitive. It’s fast, sure, but more than that, it gives you a solid, structured base you can actually build on.
Really impressive work, team! Automating full-stack SaaS scaffolding with AI agents feels like a huge leap forward. Love how it eliminates the boilerplate and sets the foundation so quickly. Excited to see where this goes!
I definitely agree with you.
Setting up is never difficult, but it makes me just give up and think my idea is not good enough to try making it.
Thanks for deleting the huge stress. Good luck :)
We often talk about “developer velocity,” but most of that momentum is lost before we even write a meaningful line of code. The friction isn't in building, it's in getting ready to build: spinning up auth, structuring your database, wiring up your UI, installing the right packages. It adds up fast.
With GoCodeo SaaS-Builder, we wanted to challenge that, not with yet another boilerplate or template repo, but with an open-sourcemodular CLI powered by AI agents that collaborate like a real dev team. Each agent owns a piece of the stack, UI, Auth, DB, and more, and together, they scaffold a production-ready Next.js + Supabase SaaS app from a single app description.
What’s been most rewarding to build is the agent orchestration layer, how these agents share context, resolve uncertainty, and chain their outputs in a coherent, type-safe way. It feels less like running a script and more like spinning up a team of autonomous specialists that understand what you’re trying to build.
We're not aiming for "instant apps." We're aiming for intelligent starts — setups that reflect your intent, not just generic scaffolds.
Whether you're hacking on a weekend idea or prototyping a serious product, just run saas-builder init, describe your app, and let the agents handle the groundwork.
As an open-source project, we’re building this out in the open — so if you're curious about how LLM agents can collaborate in structured environments, or what devtools might look like in an AI-native world, give it a spin, open issues, contribute, break things.
