Cristiano Calcagno retweeted
🚨 Mermaid has been rewritten, again. In Rust! 🧜‍♀️ Introducing Ondine. 🧜‍♀️ - 200B runtime. - Renders diagrams in ~50µs. - 1,943x smaller, 2.8x faster than Pele. - 13,467x smaller, 670x faster than Mermaid. - Still 0 dependencies.
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Semantic Diffs are coming to @rescriptlang 🧵 Review a compiler change as the change it makes to the compiler's own objects: here, the parse tree of `%raw`, Before and After.
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The review page draws exactly what the message says: trees as trees, code highlighted, Before and After side by side, aligned row by row. A small commit stays a one-line message.
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Cristiano Calcagno retweeted
Some observations about the "total" automation of software engineering: 1. There are more software engineers now than in 2025, and demand is growing. 2. Software engineers have never worked harder than they do now. 3. They largely don't write code anymore, agents write ~100% of the code. 4. The bottom line of the companies that employs these engineers and agents (i.e. the terminal purpose of all this code) is typically not budging as a result of AI adoption. This is why you have to think in terms of systems. Automating one aspect of a system creates its own friction and moves the bottlenecks elsewhere.
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Cristiano Calcagno retweeted
i made the new Roadster land with its thrusters… by turning JavaScript code into a neural net 🚀 used Handwired and gradient descent to figure out when to fire the thrusters and stick the landing all running in the browser
My dear friends, I’d like to show you my latest toy project Introducing Handwired: turn your regular JavaScript code into a neural net! - no training - exact outputs vs the JS program - fully differentiable All runnable in a browser, without GPU
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Something exciting to show. Though will have to hold a little. With flying cars and websites that run in reverse, not even the few followers and friends would see it.
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Cristiano Calcagno retweeted
This thing is insane. I ran a web app backwards by turning it into a neural net and doing gradient descent. This is a calculator with handwriting input. It looks like a web app, but it’s actually one neural net running every frame, rendering the app and recognizing handwriting simultaneously. How? I built the basic calculator in JS, compiled it to an NN with Handwired, then spliced a handwriting recognition model directly into the weights. Even more cursed: since the whole app is an NN, we can run it in reverse! Start with the answer, then gradient descent flows backwards through both handwriting and app logic, and finds inputs that produce that answer. WTF Thank you @_chenglou, this is so much fun!
My dear friends, I’d like to show you my latest toy project Introducing Handwired: turn your regular JavaScript code into a neural net! - no training - exact outputs vs the JS program - fully differentiable All runnable in a browser, without GPU
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Cristiano Calcagno retweeted
My dear friends, I’d like to show you my latest toy project Introducing Handwired: turn your regular JavaScript code into a neural net! - no training - exact outputs vs the JS program - fully differentiable All runnable in a browser, without GPU
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On one extreme: read all the slop. On the other extreme: will never look at code again. There might be something in the middle that woks way better. Got some specific instance working really well. It probably works for many work environments and I bet a bunch of people are doing it already.
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Cristiano Calcagno retweeted
New ARC Prize 2026 - ARC-AGI-2 High Score 88.06% by @tufalabs The $150K Bonus Prize, on top of the guaranteed prizes, will be split among all teams scoring over 85%
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Cristiano Calcagno retweeted
New ARC Prize 2026 - ARC-AGI-3 High Score 59.17% by Yi-Chia Chen They have taken the lead over @tufalabs
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Wondering whether future math will look a lot like code rather than future code looking a lot like math.
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Cristiano Calcagno retweeted
bun check type-checker errors print with GitHub actions formatting on PRs
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Cristiano Calcagno retweeted
Goose: my latest programming language. Safer, faster and less memory than Rust/C++ for algorithms where tightly packed, flat data structures matter. It can represent more kinds of data structures as flat, pointer-free bytes than any language I know. github.com/aardappel/goose 1/
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Had a blast night out with the old gang in London. Come back with a promise over drinks: find 1000 bugs in the linux kernel by tomorrow. Now what.
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Cristiano Calcagno retweeted
The plan: use this to give ahead of time compiled JavaScript & TypeScript a real shot at beating Go & other compiled languages’s perf Don’t know yet how that’ll play out
In the next version of Bun `bun check` is a TypeScript type checker builtin to Bun (written in Rust)
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Update: @openclaw has merged 2 fixes from my 5 reports. github.com/openclaw/openclaw Pretext: 97 audit items reviewed, 65 fixed across 3 merged PRs. github.com/chenglou/pretext Thanks to maintainers @obviyus and @_chenglou, and all contributors!
Experimenting with semantic analysis of codebases to find inconsistencies, duplication, dead code and latent bugs. ReScript: 21 repairs completed github.com/rescript-lang/res… Bend: 12 reports → 3 problems already fixed, including a latent compiler cache bug github.com/bendlang/bend/iss… OpenClaw: 5 reports, all confirmed by its triage bot; 4 community fix PRs open Thanks @cknitt, @Lorenzoowb and contributors. cc @VictorTaelin
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