Digest #47: March 2026
March at Mad Devs was about practical experimentation and clearer ways to explain complex tech. This month, we share hands-on Tech Journal materials on browser AI, AI-assisted technical writing, and Raspberry Pi rendering, and we continue to grow the Visual Glossary with new slide-based guides for teams.
Tech Journal: building through experimentation
This month’s Tech Journal focuses on tools and experiments that make advanced topics more usable in real work.
A practical guide to running AI directly in the browser instead of sending every request to an external API. It explains where WebGPU changes the game, how WebAssembly works as a fallback, and what it takes to make browser-native AI viable in production.
A behind-the-scenes case study on AI-assisted technical writing. It shows how a non-developer used AI tools to turn a highly technical topic into a developer guide, then worked with engineers to validate the result and turn it into a usable technical article.
A practical comparison based on real engineering work with both frameworks. The guide explains why WPE WebKit is the better fit for zero-copy off-screen rendering on Raspberry Pi 5, and includes build and run guidance for full web pages at 60+ FPS in Full HD.
Visual Glossary: important terms, explained simply
Not every concept needs a long read. Our Visual Glossary turns tricky tech terms into short visual stories with favorite characters. It’s quick to read, easy to share, and handy for team discussions.
See how web applications can become fast, installable, and reliable while combining the reach of the browser with the feel of a native app.
Explore AI systems that do more than retrieve answers. The focus here is on workflows where context, logic, validation, and step-by-step problem solving matter more than simple response generation.
Understand how speed-first decisions create tradeoffs over time, and why technical debt is not always a mistake, but something teams need to recognize and manage deliberately.
Learn why some devices need local, lightweight computing instead of heavy software or constant cloud calls, and why microcontrollers matter even more as systems move toward local intelligence.
Your next role might be here
We are hiring across AI, engineering, and operations for teams that work with agents, local models, and production-grade systems.
AI & ML POSITIONS
- - - - - - - - - - - - - - - - - - - - - - - - - - -
ENGINEERING POSITIONS
🚀 Middle QA Automation Engineer
- - - - - - - - - - - - - - - - - - - - - - - - - - -
DESIGN POSITIONS