I kept hitting the same wall: I'd describe an app idea to an AI chatbot, get a pile of code snippets back, and then spend hours stitching them together, debugging missing dependencies, and figuring out deployment. The AI could write code, but it couldn't actually build something end-to-end. That's what drove me to try NxCode.
NxCode takes a different approach. Instead of handing you code fragments, it spins up real Docker containers, writes and tests the code inside them, and deploys the result to Cloudflare's global network. You describe what you want, and it handles the full lifecycle. After spending a few weeks building with it, here's my practical walkthrough for getting started.
Step 1: Sign Up and Pick Your Tier
Head to studio.nxcode.io and sign up. You can use email, Google, or GitHub authentication. There are two paid tiers: Lite at $5/month and Pro at $20/month. I started with Lite to kick the tires, and honestly, that's plenty if you're just experimenting. Pro gives you more credits and access to the more powerful model for complex tasks. Both tiers give you bonus credits on your first purchase—1.5x for Lite, 2x for Pro.
You can poke around the dashboard before paying for anything, which I appreciated. No credit card gate just to see the interface.
Step 2: Describe Your App (And Be Specific)
This is where I made my first mistake. When the prompt box appeared, I typed something lazy like: "Build a project management app." The result was generic—a basic to-do list with barely any personality. The second time, I was much more deliberate:
I want to build a task management app with:
- User authentication (email/password + Google OAuth)
- Projects that contain multiple tasks
- Task priorities (P0-P3) and due dates
- Team collaboration with threaded comments
- A dashboard showing progress with burndown-style charts
- Modern, minimal design with a dark mode option
The difference was night and day. NxCode's Conductor agent—the AI product manager layer—parsed those specifics and came back with clarifying questions. It asked whether I wanted real-time updates via WebSockets or polling, and whether the dashboard should support date range filtering. These weren't just cosmetic questions; they fundamentally changed the architecture.
My tip: Describe the interactions, not just the features. Don't say "a pricing page." Say "a pricing calculator that updates in real-time when users toggle between monthly and annual billing." That specificity is what separates a generic template from something that actually works for your use case.
Step 3: Let the Conductor Plan
Once you've described your app, the Conductor agent takes over. It does four things in sequence:
- Requirement Analysis — It digests your description and asks follow-up questions.
- Task Breakdown — It splits the project into discrete, manageable tasks.
- Acceptance Criteria — Each task gets verifiable criteria, so you know what "done" looks like.
- Execution Planning — It sequences the tasks and hands them off to the Virtuoso agent.
I wasn't used to an AI tool actually planning before writing code. Most tools just start generating. The planning phase took about 90 seconds for my task app, and it caught a dependency I hadn't thought about: the threaded comments feature needed a notification system to be useful, which meant I needed an email integration. The Conductor flagged this before a single line of code was written.
You can review and edit the plan before approving it. I tweaked the acceptance criteria for the dashboard to specifically require "data visible within 2 seconds for projects with up to 500 tasks." Being precise here pays off.
Step 4: Watch Virtuoso Build in Docker
This is the part that genuinely surprised me. When you approve the plan, the Virtuoso agent—the coding agent—starts building inside a real Docker container. You can watch the build logs scroll in real time. I saw npm installs, TypeScript compilation, test runs, and lint output. It's not simulating anything; it's actually executing code.
For my task app, the build process took about 4 minutes. Virtuoso:
- Scaffolded a Next.js frontend with Tailwind CSS
- Set up a PostgreSQL schema with Prisma ORM
- Built the auth flow using NextAuth with the Google provider I specified
- Created the task CRUD operations with priority and due date filtering
- Implemented the comment threading with a materialized path pattern
- Built the dashboard with a simple chart library (Recharts)
- Wrote unit tests for the core business logic
It hit a snag during the auth setup—Google OAuth required an environment variable I hadn't provided. The build paused, asked me for the Google Client ID and Secret, and resumed after I entered them. I liked that it didn't just silently fail or hallucinate a value.
Step 5: Review and Iterate
Once the initial build completes, you get a working preview URL. My task app loaded, and I could create accounts, add projects, assign tasks, and leave comments. The dark mode toggle worked. The dashboard rendered correctly with sample data.
But it wasn't perfect. The burndown chart I wanted was more of a basic line chart—no ideal line overlay or sprint scope tracking. I also noticed the comment threading didn't support markdown formatting, which I wanted for code snippets.
NxCode handles iteration through the same conversational interface. I typed:
Two changes:
1. The burndown chart needs an ideal progress line and should show
sprint scope (total tasks at sprint start). Use the standard
burndown chart format.
2. Add markdown support to comments with a preview toggle.
The Conductor updated the plan, Virtuoso rebuilt the relevant modules, and about 2 minutes later, both changes were live. The iteration loop is fast because the Docker environment persists—you're not starting from scratch each time.
Step 6: Deploy
When you're happy with the app, one click deploys it to Cloudflare's global network. The deployment took about 30 seconds for my app. You get a production URL and can connect a custom domain through the settings.
I tested the deployed version on my phone, from a different network, and even had a colleague in Europe try it. Response times were solid—under 200ms for most interactions. Cloudflare's edge network does the heavy lifting here.
The CLAUDE.md Equivalent: Project Context
One feature I found useful is the ability to set project-level context—similar to a CLAUDE.md file in Claude Code. You can specify coding conventions, tech stack preferences, and testing requirements that NxCode reads automatically every session. I added:
Tech stack: Next.js 14, TypeScript, Tailwind, Prisma, PostgreSQL
Conventions: Functional components, named exports, no default exports
Testing: Jest + React Testing Library, minimum 80% coverage on business logic
Design: Inter font, 8px spacing grid, indigo primary color
This meant that when I iterated or added features later, the new code was consistent with what was already there. Without this, I noticed Virtuoso would sometimes mix conventions—using default exports in one file and named exports in another.
Honest Limitations
After a few weeks of use, here's what I wish someone had told me:
Complex state management gets tricky. My task app was fairly straightforward, but when I tried building a real-time collaborative editor (like a lightweight Notion), the state synchronization logic got messy. NxCode generated something that worked for the happy path but fell apart with concurrent edits. For anything with complex real-time collaboration, you'll need to dig into the generated code yourself.
The generated code is readable but not always elegant. Virtuoso writes functional, well-structured code, but it's verbose. My task app's API layer had more abstraction than I'd write by hand. It's maintainable, but if you're a senior developer who cares about code minimalism, you'll want to refactor.
You still need to understand what you're building. NxCode handles the implementation, but you need to make good architectural decisions in the planning phase. If you approve a bad plan, you get a well-built bad plan. The tool amplifies your intent—it doesn't replace your judgment.
Costs can creep up. Each build and rebuild consumes credits. My task app with iterations cost roughly 40 credits on the Lite plan. A more complex app with heavy iteration could burn through Lite credits quickly. Pro is the better choice if you're building something real.
Vendor lock-in is real. You're deploying to Cloudflare and running in NxCode's containerized environment. Exporting the code and self-hosting is possible—I downloaded the Dockerfile and source—but it requires manual setup to run outside the NxCode ecosystem.
Who Should Use This
NxCode shines for developers and founders who want to ship a functional web app quickly without babysitting the infrastructure. If you're a solo founder validating an idea, a small team that needs an internal tool, or a developer prototyping before a deeper build, it's genuinely useful. If you're building something with complex real-time requirements, heavy background processing, or custom infrastructure needs, treat it as a rapid prototyping tool rather than a final deployment platform.
My task management app is still running on the Cloudflare deployment, and I've since added three more features through the iteration workflow. The biggest shift for me was mental: I stopped thinking about how to build something and started thinking about what I wanted to build. That's the real value here—not the code generation, but the compression of the gap between idea and working software.