As Simon Willison notes, this comparison underscores a quiet but significant shift in developer workflows. The real story isn't the specific ASCII art tool, but the emerging pattern of using AI models as a universal adapter for legacy or niche code. This points to a future where AI's value may be less in creating flashy new demos and more in silently extending the lifespan and interoperability of the vast corpus of existing software. In our view, this kind of infrastructural glue work, while unglamorous, could prove more durable than many hyped AI features.
Developer compares two Mermaid-to-ASCII tools compiled to WebAssembly
Simon Willison tests two open-source libraries converted to WebAssembly, noting one adds color support.
AIpressr commentary on an article originally published by Simon Willison.
For informational purposes only. AI-assisted commentary may contain errors. full disclaimer ↓hide ↑
This is AIpressr's editorial commentary on a report originally published by another outlet — it is opinion, not the original reporting, and not an endorsement by or affiliation with that outlet. Follow the linked source for the underlying facts. Editorial & AI disclosure.
Editor's Take
Simon Willison's latest developer note compares two tools for converting Mermaid diagrams to ASCII art. While a niche utility, the exercise highlights a persistent, low-level trend in the AI toolchain: using models to compile or port existing codebases to new runtimes like WebAssembly. This suggests that, for many developers, AI's most practical utility remains in augmenting and connecting established open-source libraries rather than generating wholly novel applications.
“This one includes support for colors!”
Our analysis
Have AI news to share?
Submit your release →Publisher or subject of this story? Object to this commentary or request a correction →
