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Rob Richardson

@robrich.bsky.social

Developer Advocate https://robrich.org/

1142 Posts214 Follower2 Folgt
Rob Richardson@robrich.bsky.social · 6d ago

apps.microsoft.com/detail/9pkx2... - #AI vin, a #windows app that becomes a universal chat client for any #LLM: local (Foundry Local, Ollama) or cloud (OpenAI-compatible).

AI vin - Free download and install on Windows | Microsoft Store

Note: AI-vin is fully self-contained — the .NET runtime and all dependencies are bundled in the app. No additional software installation is required. Connect to local AI (Foundry Local, Ollama) or…

apps.microsoft.com

Rob Richardson@robrich.bsky.social · 2w ago

github.com/github/aweso... - #Awesome #Copilot: ``` copilot plugin marketplace add github/awesome-copilot copilot plugin install <plugin-name>@awesome-copilot ```

GitHub - github/awesome-copilot: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.

Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. - github/awesome-copilot

github.com

Rob Richardson@robrich.bsky.social · 2w ago

www.linkedin.com/posts/joland... - FatFs reads #SDCards on most devices ... and it has a lot of #vulnerabilities.

#ethicalhacking #fatfs #iotsecurity #embeddedsecurity #firmwaresecurity #cybersecurity #infosec #hardwarehacking #supplychain #sdcard | Jolanda de Koff

Millions of devices read an SD card with one small piece of code called FatFs, and researchers just found seven ways to break it. The worst one hands the whole device to whoever made the card. FatFs does...

linkedin.com

Rob Richardson@robrich.bsky.social · 2w ago

github.com/headroomlabs... - Headroom compresses everything your AI agent reads - tool outputs, logs, RAG chunks, files, and conversation history - before it reaches the LLM. Same answers, fraction of the tokens.

GitHub - headroomlabs-ai/headroom: Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server. - headrooml...

github.com