📚Resources, help & troubleshooting
The links that matter, the communities where you can ask your questions, and the reflexes for when something jams. Your address book for what comes next.
There you go, your machine is running and your agent is working. One simple truth remains: you won’t remember everything, and one day something will break. That’s normal. This guide is your address book, the docs that are authoritative, the people who answer, and the moves to make when things go sideways.
The official documentation
When a technical doubt comes up, the official source always beats the tutorial copied ten times over. Here are the authoritative pages, by tool:
- Claude Code : docs.claude.com (formerly docs.anthropic.com). Hooks, slash commands, MCP, settings: it’s all there.
- OpenCode : opencode.ai. Install, providers, multi-model configuration.
- Ollama : ollama.com and especially ollama.com/library to browse the available models and their sizes.
- llmfit : llmfit.org (open-source
AlexsJones/llmfit). Scans your machine and tells you which local models run well on it, and with which quant. See Choosing and sizing your model. - Tailscale : tailscale.com/kb. The official knowledge base, clear and up to date.
- Cloudflare Tunnel : developers.cloudflare.com. To expose a service to the public cleanly.
- Ubuntu : ubuntu.com and help.ubuntu.com for the system itself.
Learning and getting inspired
Beyond troubleshooting, this is where you step back and discover what’s moving:
- Anthropic Engineering, Anthropic’s posts, including the Claude Code best practices. Reading that genuinely changes how you steer an agent.
- Hugging Face, the hub of open-weight models. Just about everything that ships for local use passes through there.
- r/LocalLLaMA, the pulse of the local-model community. New releases, homegrown benchmarks, field reports.
- Artificial Analysis, model comparisons (speed, quality, price) on measured data rather than gut feeling.
Where to ask for help
The most cost-effective reflex: someone has already hit your error. Really. Paste the exact message into a search engine, and you’ll often land on the solution written by a stranger who was struggling just like you six months ago. And if not, these places welcome questions:
- r/LocalLLaMA, for anything touching local models and Ollama.
- The official forums and Discords, Ollama, Tailscale, Cloudflare.
- Ask Ubuntu and the Ubuntu forums, the gold mine for system troubles.
- Stack Overflow, the go-to as soon as it’s about code or commands.
The troubleshooting reflexes
When something breaks, don’t panic. There’s an order of operations that resolves 90% of cases:
Actually read the error message
Don’t close it in a panic. Most errors say exactly what’s wrong, in plain words. Take ten seconds to read it.
Give it to your agent
Paste the error into Claude Code or OpenCode. Decoding cryptic messages is precisely what it does best. Often it diagnoses and proposes the fix right away.
Look at the service logs
If it’s a service that’s failing, the logs talk: journalctl -u <service> -e for the last lines, and systemctl status <service> to see if it’s running and why it crashed.
Search for the exact error string
Copy the most precise bit of the error (not all of it, just the key sentence) into a search engine. Someone has been there before you.
git is your 'undo' button
If you broke something while editing, and you were committing regularly, you roll back painlessly. That’s the whole point of commits as a safety net, detailed in Securing access.
Reboot
Yes, really. A reboot fixes more problems than we like to admit, stuck services, finicky mounts, a wonky state. Worth a try before despairing.
Keeping the machine in shape
A few commands worth knowing for a quick health check:
htop # CPU/RAM load in real time, and who's eating what
df -h # disk space, models fill it up FAST
ollama ps # which models are loaded in memory right here, right now
And for maintenance that runs on its own: automatic security updates (unattended-upgrades, configured in System settings) keep the system patched without you thinking about it. It’s the kind of thing you set up once and forget, exactly as it should be.