@yiyangleex: Using tools like Codex and Cursor to learn and understand codebases has a major issue: if you want to deeply understand a project's architecture, they can often only provide you with a bunch of markdown text or Mermaid diagrams.
Summary
Points out that current AI code understanding tools like Codex/Cursor can only provide static text or Mermaid diagrams, while modus can generate interactive diagrams and sandbox HTML in conversation, allowing users to intuitively understand code architecture through dragging and clicking, demonstrated with the Codex CLI source code as an example.
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Cached at: 07/12/26, 04:57 PM
Using tools like Codex and Cursor to learn and understand codebases, the biggest problem is: when you want to deeply understand a project’s architecture, all they can give you is often a bunch of markdown text or Mermaid diagrams.
Passively reading text and staring at static diagrams to guess the structure—frankly, it’s quite anti-human.
In modus, AI can directly generate interactive diagrams, schematics, and even sandbox HTML inline in conversations—you can drag, click, and physically “touch” these concepts, instead of staring blankly at a diagram and trying to imagine it yourself.
This might be the most natural experience in AI interactive visualization so far.
Below is a test I did using the Codex CLI source code repository, letting GPT 5.6-Sol in modus explain the agent loop principle using inline interactive diagrams. The entire execution chain became clear at a glance—much more intuitive than spending half an hour reading documentation.
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