gtoolkit

The Moldable Development environment for making sense of systems and AI

Code reading is the bottleneck. Systems are too large, and AI generates code too fast. Glamorous Toolkit replaces reading with deterministic contextual tools that compress the system around each problem, helping humans and AI explore faster. Build these tools yourself or with AI in one integrated environment.

Download

Ready made distribution

Simply download and run: https://gtoolkit.com/download. The download is a self contained installation made of a Glamorous Toolkit image, a virtual machine, and a few other resources and libraries.

Install from sources

Executing the script below installs the VM, clones the sources and builds an image. It takes ~10 minutes and it is useful for developing Glamorous Toolkit itself.

• On Mac: curl https://dl.feenk.com/scripts/mac.sh | bash
• On Linux: curl https://dl.feenk.com/scripts/linux.sh | bash
• On Windows: wget https://dl.feenk.com/scripts/windows.ps1 -OutFile windows.ps1; ./windows.ps1

Get started

Learn how to learn

To leverage Glamorous Toolkit, you need to program it. The best way to learn that is to do it from within the environment. The distribution contains thousands of contextual tools that we used to develop and explain the environment itself. Learning how these tools work first accelerates your overall learning. Each of these is based on an underlying language made out of visual and interactive operators that can be combined in many ways. So, first learn the underlying language: Watch 7 minutes introductory videos.

The environment ships with an elaborate live book that documents it. The book offers concrete starting steps through selected introductory videos, hands-on tutorials such as exploring CSV data, practical setup notes for working with Git, and guidance for setting up LLM connections. Get more starting links in the book.

Pick a problem you care about

Moldable Development is about adapting the environment to match the context. It’s one thing to see it on someone else’s problem, and a whole other experience when you apply it to your problem. We encourage you to pick a problem you care about and work your way through it. Ideally pick a reading problem related to understanding various artifacts. Get inspiration from case studies in the book.

Engage with the community

• Chat with us on Discord: discord.gg/FTJr9gP
• Watch our YouTube videos: @gtoolkit

License

See LICENSE.