How I configured Pi as a coding agent: LSP, MCP, skills and extensions
My complete reproducible Pi setup: local models, LSP, RAG, MCP, codemode, extensions, session commands, skills and security.
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My complete reproducible Pi setup: local models, LSP, RAG, MCP, codemode, extensions, session commands, skills and security.
A detailed two-week OpenClaw field report: how it works, isolated installation, real token use, subscriptions, a Telegram coding agent, voice, writing and limits.
Take control of a server before the system even boots, drive its power supply, and build an ISO image with a chassis just four centimetres across.
Reduce bufferbloat with CAKE, size the queue under real throughput, classify only useful flows, and prevent FastTrack from bypassing QoS.
Encrypt DNS queries between the router and a DoH resolver, verify the TLS certificate, secure the cache for the LAN, and diagnose resolution failures.
Understand why four conductors often limit Ethernet to 100 Mbit/s, how the four pairs enable Gigabit, and how to diagnose a faulty cable.
Understand MTU, Jumbo Frames, fragmentation and silent packet loss before switching a NAS or local network from an MTU of 1500 to 9000 bytes.
Configuring DSM 7.4 storage efficiency on a Btrfs volume, and understanding the risks of an unofficial script with third-party drives.
Build a two-node Proxmox VE cluster, add a QDevice, migrate the VMs, replicate the ZFS volumes and prepare a safe recovery after a failure.
Running a language model at home, exposing it as an OpenAI-compatible API and wiring it into Synology AI Console to power MailPlus and Office without any online service.
Linking MailPlus to an AI service, producing conversation summaries, drafting and translating replies, then anonymising the data sent through de-identification.
Writing, summarising, proofreading and translating in Synology Document, and getting formulas and analyses in Synology Spreadsheet once AI Console is configured.
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