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JRS1986 edited this page May 6, 2026 · 7 revisions

CodingScaffold Wiki

CodingScaffold helps teams move from “AI autocomplete” to reviewable agentic coding workflows. The README is the quick front door; this wiki explains the project in more depth and gives teams a shared rollout playbook.

What CodingScaffold Does

CodingScaffold creates project-local guidance and lightweight configuration for:

  • local-first model routing
  • provider and credential discovery
  • prompt-based model selection
  • OpenCode and OpenClaude adapters
  • reusable team skills
  • agent orchestration profiles
  • shared Markdown, Obsidian, or MemPalace-ready knowledge bases
  • experienced-team onboarding manifests
  • policy packs for provider, sharing, permission, and MCP defaults
  • context budgeting and optional compression sidecars
  • optional RouteLLM and Open Multi-Agent workflows

It does not collect secrets, does not require one model vendor, and does not force a hosted service into the workflow.

First-Start Rule

CodingScaffold itself can start without an LLM. Setup, hardware probe, credential templates, adapter generation, and tools select-model command are local Python workflows. The first actual model call happens later, inside the coding tool, when a developer runs an agent command such as /first-session in OpenCode.

Recommended Reading

  1. Getting Started: install, run setup, refresh safely, and complete the first agentic coding session.
  2. Core Concepts: understand the main ideas before introducing it to a team.
  3. Model Selection and Providers: local-first routing, Azure/OpenAI/Anthropic abstraction, and auto mode.
  4. Skills and Agents: how teams turn good workflows into reusable assets.
  5. Knowledge Base: Markdown, Obsidian, MemPalace, and shared GitHub/GitLab memory.
  6. Context Hygiene: avoid oversized or stale context and add optional compression.
  7. Team Onboarding: connect new developers to shared knowledge, skills, agents, and policy.
  8. Policy Packs: local OpenCode policy defaults for company/unit/team rollout.
  9. Team Rollout: a practical adoption plan for a team workshop or internal pilot.

Design Posture

CodingScaffold is intentionally boring where that helps:

  • Git is the sharing mechanism.
  • Markdown is the source of truth.
  • Local credentials stay local.
  • Generated files are readable and editable by hand.
  • Advanced orchestration is optional and comes after the team validates the workflow.

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