JigsawML
Visualize AI-Generated Code Architecture
What it does
JigsawML maps your codebase and cloud infrastructure into a live architecture diagram. See what AI-generated code changed, query your system in plain English, and catch drift before production.
The control plane for AI-written code. AI agents are generating code faster than teams can comprehend. JigsawML is the world's first Architectural Intelligence Platform — it ingests any codebase and cloud account to create an interactive, comprehensive view of your system. See every change and its impact across your software architecture. Connect your repositories and cloud accounts. JigsawML automatically generates intelligent, interactive architecture diagrams that map dependencies, overlays cloud costs, and tracks how every code commit changes your system. For the full interactive experience, please enablefrom jigsawml.com
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Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make…
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In the past I've used declarative diagram generation tools like Mermaid.js a lot for quickly drawing up things but for presentations or deliverables I find that I have to then move the generated diagrams over to a tool like Lucidchart which allows full control of the organization and customization. Therefore I am now working on this to combine the benefits of both into just one tool which can do both functions. The project is certainly in the early stages but if you find yourself making architecture diagrams I'd love to hear your thoughts on the idea or even a Github issue for a feature…



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Hi HN! I'm Gabriel, the author of dep-tree (https://github.com/gabotechs/dep-tree), and I wanted to show off this tool and explain why it's being really useful at my current org for dealing with code complexity. I work at a startup where business evolves really fast, and requirements change frequently, so it's easy to end up with big piles of code stacked together without a clear structure, specially with tight deadlines. I made dep-tree [1] to help us maintain a clean code architecture and a logical separation of concerns between parts of the application, which is…
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