Launching today
Project Oryx
Decompose. Visualize. Understand codebases, legacy to AI.
3 followers
Decompose. Visualize. Understand codebases, legacy to AI.
3 followers
Explore and execute code visually across Python, Java, and C++. Sequence diagrams light up in sync as the program steps, built deterministically from the AST and live execution, not an LLM’s guess. Variables render as structured visuals: trees, containers, pointer graphs. Rewind to any point, change a value, and continue down a new branch. From legacy systems to AI-generated code, every codebase becomes legible.
Hi all, this is Jon, the main developer of Project Oryx.
This is an early evaluation release. The main reason it is here is to learn which features actually matter to working developers before investing deeper in any single one.
The core idea is to understand a codebase by watching it run. When stepping through Python, Java, or C++, the sequence diagrams light up in sync, built from the real AST and live execution rather than an LLM’s guess. Variables show up as visuals instead of walls of raw text.
The main areas currently being looked at are:
1. Enabling true branch editing to rewind code and edit variables at runtime. Currently, rewinding works for variable inspection only.
2. Generating semantic diagrams faster, with greater accuracy, and with lower token consumption.
3. Building fully themeable user interfaces.
Which of these features are genuinely useful day to day, and what feels missing? Honest, specific feedback is the entire point of this launch. The feedback button is in the lower-left corner of the workspace and it is the fastest way to send a note.
Thank you for taking a look.
One more thing: Project Oryx will be free, and the plan is to open source it further down the line. When local models are used, the code being analyzed stays on the user's own machine.