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FAQ
No. It is a scaffold that prepares a project for coding agents and local-first model routing.
No. Setup, hardware probe, credential templates, adapter generation, and tools select-model
recommendations work without calling a model. You need an LLM only when a coding tool such as
OpenCode or OpenClaude starts an actual agent session.
Yes, when it is running interactively and the selected coding environment is missing. It asks before
installing. You can also run coding-scaffold setup tool --tool opencode to validate the tool, or
add --install to install a missing tool intentionally.
Yes. Use coding-scaffold setup addon --addon llmfit, routellm, open-multi-agent,
obsidian, or caveman-compression. Setup can also offer add-ons interactively. RouteLLM
installs into the active Python environment, Open Multi-Agent installs into the target Node.js
project, Caveman Compression is cloned under .coding-scaffold/tools/ as an optional external
engine, and Obsidian remains manual on WSL because it is a desktop app.
Yes. Use coding-scaffold setup knowledge --target . --backend obsidian --shared-remote <repo>.
Setup can also ask for this during setup. The remote URL is metadata only; credentials and
tokens stay local.
Yes. Use coding-scaffold setup update --target .. The command re-detects hardware and providers,
recreates generated scaffold files, updates files that still match their last generated checksum,
and writes .new files next to anything you edited locally.
No. It can work local-only. Cloud providers are used only when credentials are configured and the project privacy mode allows it.
No. It writes ignored templates such as .coding-scaffold/.env.local, but it does not commit,
print, or collect secret values.
Copilot is useful for completion and chat. CodingScaffold focuses on agentic workflows: inspect, plan, edit, verify, review, and preserve reusable team habits.
Markdown works in Git, GitHub, GitLab, editors, Obsidian, and memory tools. It is easy to review and easy to migrate.
It can catch the easy cases early. Run coding-scaffold context budget --target . --source team
to estimate whether shared knowledge, skills, policy, and agents are getting too large for a healthy
session. Run coding-scaffold context compress --target . --source knowledge to create optional
compressed sidecars with the built-in compressor. Use context budget --prefer compressed to
estimate a sidecar-first session. Still use human judgment: narrow retrieval, keep policy
uncompressed, and open a fresh session when history has become stale.
No. Start with setup, OpenCode, skills, and knowledge. Add RouteLLM or Open Multi-Agent only after the team has a proven need.