Build digital skills. Share what works.

A docking station that charges a phone and, at the same time, shows the people around you whether you are available: a rotating status wheel and a coloured LED driven by an ESP32 that reads the presence status from an online collaboration platform. The housing is plywood and 3D-printed parts; the interesting part is what happens between the object and the internet. The housing is largely pre-assembled before the session, so that the afternoon is not spent on gluing and clamping. Participants wire and solder their own electronics — servo, buttons and an addressable RGB LED — from a wiring diagram, produce the printed status wheel on the UV printer, and mount the mechanism and the screwed panels themselves. The centre of the workshop is the connected part. Participants meet the ESP32 and what its Wi-Fi interface changes compared to a standard Arduino board, then work through how a device asks a service for information: REST requests, the JSON response, the presence states and the token a device needs before it may ask anything at all. The sketch is provided ready-written; participants flash it, read it and adapt the parts that are theirs — credentials, pins, colours and the mapping from status to colour and wheel position. Prior Arduino experience is required.

Target: General

Vibe Coding is an AI-supported approach to software development where users collaborate with AI assistants to create digital solutions more efficiently. This workshop provides a practical introduction to building web-based prototypes with modern AI tools. Participants set up Visual Studio Code and use AI coding assistants such as Continue with OpenRouter, Codex, or Claude Code to generate, improve, and debug code. They create their own website using HTML, CSS, and basic JavaScript, test and refine their projects, and publish them via GitHub Pages. The workshop also covers best practices for AI-supported development, including effective prompting, iterative testing, error analysis, secure handling of API keys and private data, and testing applications across different devices.

Target: Other

A digital delivery of the SAME design thinking methodology as Module 1, through the DiSTT app (distt.dfa.fablab.hr — a DiSTT-adapted version of dfa-app). Instead of a blank page, AI generates a small fictional community of three stakeholders (a craftsperson, an employee in retraining, a secondary student), each with their own story and problem. The user interviews them through chat and, across 5 short phases, defines the problem, designs a solution and tests it back on them — independently, with no physical material, in short repeatable sessions (e.g. 10 minutes over morning coffee). The goal is not a one-off workshop but building a habit of thinking through repetition (a 3/7/30-day streak system). Actual time depends on personal abailities and short with practice!

Target: Unprivileged