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Sunday, 25 October 2026 Reading Room

Tech

findbox: I built a tool that quietly organizes your digital mess while you sleep — 100% local, open-weight Gemma, zero cloud

🦥 findbox — Drop it in. Forget it. Find it by what you remember. Built for Hacktoberfest 2026 Week 3: Slow & Steady (International Sloth Day). Open-source, 100% local, zero cloud. 👉 GitHub : chourasiavinit9-dev/findbox 🌐 Static Demo (judges): chourasiavinit9-dev.github.io/findbox The Problem: Your Downloads Folder Is a Crime Scene I have 847 files in my Downloads folder right now. IMG_4471.png…

dev.to ·

Findbox is a local AI file organizer that quietly cleans up your digital mess overnight. Built with Gemini coding agent Antigravity, the tool scans common device folders like Downloads, Desktop, and Documents, and organizes files by renaming them with useful metadata. The open-weight Gemma 3 model runs locally via Ollama, ensuring privacy and security by keeping files on your device.

Users can search for files using vague descriptions, and the tool offers a neobrutalism web UI for easy access. Findbox runs at the lowest CPU priority to minimize impact on system performance.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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week 3 challenge ( Hacktoberfest )

🦥 SlothMesh: Energy-Paced Edge AI with Gemma 4 on Arduino UNO Q This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady .

  • SlothMesh is an edge AI prototype built on Arduino UNO Q
  • Detects wireless network issues with TinyML and language model
  • Open-source project released under MIT License on GitHub

·dev.to

week 3 ( Hacktoberfest )

🦥 SlothMesh: Energy-Paced Edge AI with Gemma 4 on Arduino UNO Q This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady .

  • SlothMesh is an open-source edge AI prototype for wireless network monitoring and remediation.
  • The system uses TinyML on Arduino UNO Q and Gemma 4 for AI layers.
  • SlothMesh aims to reduce unnecessary computation and avoid external AI APIs.

·dev.to

Context engineering: the job prompt engineering grew into

Context engineering is deciding, for every request, exactly what the model gets to see: the instructions, the knowledge retrieved for this question, what the system remembers about the user, the tools…

  • Context engineering selects and prepares information for language models.
  • It involves deciding what data the model should see, such as instructions and retrieved knowledge.
  • As context grows, model performance may degrade due to dilution of important information.

·dev.to

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