From System Architecture to Working Code: Introducing Doc View in Basalt
One thing I realised while building Basalt is that generating a system architecture is only half the problem.
The other half is getting your coding agent to understand it.
You might create a detailed architecture in Basalt, but when you move to Claude, ChatGPT, Google Antigravity, or another AI coding agent, you still have to explain what you built, how the components interact, what the intended workflows are, and what needs to be implemented.
That creates unnecessary friction between designing a system and actually building it.
So, we decided to make that transition simpler.
Introducing Doc View
Doc View turns your Basalt architecture into a structured, ready-to-use prompt for your AI coding agent.
Here's how it works:
- Design your architecture in Basalt, just as you normally would.
- Switch to Doc View to get a prompt generated from your architecture.
- Copy the prompt and add any project-specific requirements, constraints, or instructions.
- Paste it into your coding agent and start building.
That's it.
No need to manually translate every component, connection, and architectural decision into a lengthy prompt from scratch.
Why does this matter?
AI coding agents are becoming increasingly capable, but the quality of their output still depends heavily on the context we provide.
A well-defined architecture gives the agent a clearer picture of the intended system before implementation begins.
Instead of starting with a vague description of what you want to build, you can start with an architecture you have already designed and use it as the foundation for implementation.
The goal is simple: reduce the gap between system design and code generation.
What's next?
Doc View is another step towards making Basalt more than an architecture design tool. We want it to become part of the workflow that takes an idea from system design to implementation.
Design the system. Give your coding agent the context. Start building.
Your architecture just became a working system.
Try Basalt: https://basaltarch.io
I'd love to hear how you're currently moving from system architecture diagrams to AI-assisted implementation. What does your workflow look like?
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