Right now there is a runtime and compiler targeting C, written in dependency-free Rust, and a minimal Python frontend. The project is very much proof-of-concept stage so not yet fast. Working on a CUDA backend now.

The goal is to enable automatic discovery of FlashAttention-style optimizations which is not feasible with current compilers.

Very open to feedback/discussion from anybody interested in or knowledgeable about tensor compilers!

repo: https://github.com/ilang-dev/i

At core it turned out to be a complex optimization problem and a real challenge to tackle. I also put a lot of care in the UI/UX, while I usually focus more on backend work. It's working well, I am just finalizing the handling of some of the nastier edge cases

https://www.jetlagcoach.com

https://www.agentkanban.io - Github Copilot / Claude Code integrated Kanban board with context management

https://www.asmusictheory.com - Music Theory lessons, tools, including piano roll with midi in the web browser

The concept was, what if Theme Hospital was about Victorian-esq research institution instead of a hospital? You hire strange scientists, have them explore dangerous fields of research, collect messy findings, turn them into theories, prototypes and eventually products, all the while trying to convince investors they're worth funding before they hit the market and work out what they might actually be worth

The gameloop is broken down into two parts, Exploration / Discovery and Exhibition, the closest comparison I have for the first part is take Kerbal Space Program, but focus it on Mission Control rather than the astronauts

While the mad scientists are going into weird, unstable research domains, the player is managing the institution around them, funding, equipment, research direction, safety

On the other side as you discover interesting things or successfully develop prototypes worth showing off, have investors show up and see what excites them, will they give you more funding? Push a grant your way? How are you going to keep this circus going?

You're balancing two plates, you need to invent tools to delve deeper and if you don't keep finding exciting new discoveries, your investors will slowly get bored of you

I made it because doing one of the mainstream Markdown renderers + Katex (LaTeX) + Prism.js (syntax highlight) adds 300kb of gzipped JS to the frontend projects, so with this you can have it all for just 10kb. It also works well with streaming/does stable partial rendering.

It supports features usually reserved for LLM chatbots, but also for normal everyday Markdown, so feel free to use it or give feedback!

Lots of fun and novel problems to solve across hardware, software, firmware, enclosure, legality, manufacturability! It also got me collecting random carts just to hear the incredible music locked away (some samples at the end of this video https://www.youtube.com/shorts/7naKAga8hAE )

However what happens when you actually build and launch your agent is customers try it, do some initial runs and then go ask your manager to automate their use case. That is why I have been building https://toolscaled.com/ The goal being work through your problem space using agentic chat (like Claude Desktop) and then at the end convert it to a workflow. I am pretty close to launching and have been testing. If you're interested send me an email! (if you do sign up just fyi its still in beta so YMMV.

Still working on my programming language which makes your game multiplayer automatically. Currently working on improving the tutorials. When writing the tutorials I followed the "focus on the action" principle from Diataxis (https://diataxis.fr/tutorials/) perhaps too much. Easel is a unique language in a number of ways and it really does actually have to be taught, so I'm trying to make it do a better job of that.

Repo is here if anyone wants to have a look: https://github.com/deosjr/unreal-talk

And a browser-based version can be found here: https://deosjr.github.io/dynamicland/live