LCARS voice recognition & UI editing This is the continuation in the series of LCARS app development: LCARS Elbow LCARS Frame LCARS Text Editor In the last post I built a text editor from scratch for the Captain’s-log use-case. This time I added three things to it: speech recognition, so you can dictate into the log instead of typing it out; proper cursor editing, so you can insert and delete anywhere in the text and not only at the end; and a drag-and-drop layout editor for moving the interface elements around.

LCARS Text editor in Raylib This is the continuation in the series of LCARS app development: LCARS Elbow LCARS Frame This time I focused on implementing a text editor from scratch in Raylib. This is for something like the personal log / Captain’s log use-case. Works better in the full screen version available here Features Mouse over text area to allow editing text Insert text - only at the end for now… Will work on a gab buffer or something in the future to allow moving the cursor and edit text anywhere.

LCARS frame in Raylib Continuation from last post about designing the LCARS elbow. I continued with making the full frame and add some interactivity to it. Full screen version available here Github Code Repo

LCARS Elbow designer in Raylib Just a fun little project for designing LCARS elbows. Click ’d’ key for debug view. Code: https://github.com/saftacatalinmihai/lcars/blob/main/lcars.c

This is a tale of software architecture decision-making in large companies. The setup As part of my job as a software architect, I had to design a solution which involved the integration between 2 systems: let’s call them A and B. They were part of a new instant payment processing flow that was beeing developed. System B had a legacy integration mechanism that was no longer supported at the architectural level.

🖖 Re-Creating Star Trek’s LCARS Computer With Modern LLMs A hands-on experiment in autonomous tool-building agents 1 · Why LCARS? For decades science-fiction fans have watched Star Trek officers converse with a ship-wide computer LCARS (“Library Computer Access/Retrieval System”). LCARS could: answer arbitrary questions by searching internal databases; execute real-world actions by routing commands to subsystems; politely say why it couldn’t comply when limits were hit. In 2025, large language models (LLMs) plus tool-calling APIs make that dream feel within reach.