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9,684 entries: 91 from X, 8,928 from Pinboard, saved 1998 to 2026.

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August 2026

July 2026

QR Code

https://qr.jim.sh/ -- This is a real TrueType/OpenType font that turns bracketed text into QR codes during text shaping. There is no separate image generation or preprocessing step: type text like [hello], apply the font, and the font's built-in OpenType rules render the QR code. Because the QR code is still text, you can copy and paste the rendered QR block as ordinary characters, store it in plain text, or mix it inline with regular Latin text. Text outside brackets remains readable.

notes

June 2026

Sandbox for Coding Agents

Container Use -- Sandboxed dev environments for coding agents.

GitHub - abshkbh/arrakis: A fully customizable and self-hosted sandboxing solution for AI agent code execution and computer use. It features out-of-the-box support for backtracking, a simple REST API and Python SDK, automatic port forwarding, and secure MicroVM isolation. Perfect for safely running, testing, and backtracking multi-step agent workflows. See Arrakis: How To Build An AI Sandbox From Scratch - Abhishek Bhardwaj, OpenAI talk at 2026 AI Engineer Conference.

GitHub - tizkovatereza/awesome-ai-sandboxes: A list of cloud sandbox providers for AI agents. Information sourced exclusively from official docs and landing pages. · GitHub

See also Tools for Agents

notes

Jetbrains

Junie "The coding agent that works with any model you choose."

curl -fsSL https://junie.jetbrains.com/install.sh | bash

Mellum by JetBrains: Fast language models for real-world AI workloads. "The open-source LLM by JetBrains, optimized for real-world development workflows where latency and performance matter most."

Mellum2 -- Best for low-latency, high-performance inference

A 12B-parameter open-source mixture-of-experts model, designed for real-time workflows, combining strong coding and language capabilities with exceptional efficiency.

Mellum 2 on huggingface

notes

pi.dev

Pi Coding Agent.

I use it with GitHub - mitsuhiko/pi-ds4: Run deepseek4 locally on metal right from within Pi · GitHub, which allows me to call GitHub - antirez/ds4: DeepSeek 4 Flash local inference engine for Metal and CUDA · GitHub directly from within pi, without having to start a separate server.

Running Cohere North Mini 1.0

via

uv tool install git+http://github.com/Blaizzy/mlx-vlm
uv run mlx_vlm.server --model CohereLabs/North-Mini-Code-1.0

Add this following line to ~/.pi/agent/models.json under providers key:

"mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "CohereLabs/North-Mini-Code-1.0"
        }
      ]
    },

Pi will use the above server running on port :8080:

pi --provider mlx-vlm --model CohereLabs/North-Mini-Code-1.0

The above will download the weights.

notes