Document current coding-workflow stack state

Snapshot of where opencode + Qwen3-Coder + MCPs + Kimi-Linear + voice
  + Phoenix tracing land today, plus in-flight (oc-tree, kimi-linear
  context ramp) and next (ComfyUI) items with pointers to per-project
  NEXT_STEPS.md guides.

vscode-continue-config.yml

@@ -0,0 +1,49 @@
+name: framework
+version: 0.0.1
+schema: v1
+
+# Continue.dev config for the framework-backed local LLM stack. Drop at
+# ~/.continue/config.yaml (per-machine) or <repo>/.continue/config.yaml
+# (repo-scoped). One-time prep on the box: `ollama pull nomic-embed-text`.
+#
+# Two chat models, manually switched via Continue's model dropdown.
+# Qwen3-Coder is the daily driver; Kimi-Linear is the long-context play
+# and only works once P0 verification passes on the box.
+
+models:
+  - name: Qwen3-Coder 30B (Ollama)
+    provider: ollama
+    model: qwen3-coder:30b      # Ollama tag (the "A3B" is the MoE active count, descriptive only)
+    apiBase: http://framework:11434   # NO /v1 — Ollama provider speaks /api/* directly
+    roles: [chat, edit, apply]
+    defaultCompletionOptions:
+      contextLength: 65536    # matches OLLAMA_CONTEXT_LENGTH in ollama.yml
+
+  - name: Kimi-Linear 48B-A3B (vLLM)
+    provider: openai          # vLLM exposes OpenAI-compatible /v1
+    model: kimi-linear        # served-model-name in compose/kimi-linear.yml
+    apiBase: http://framework:8000/v1
+    apiKey: dummy             # vLLM doesn't enforce; Continue requires non-empty
+    roles: [chat, edit, apply]
+    defaultCompletionOptions:
+      contextLength: 32768    # P0 narrow start; bump as --max-model-len ramps
+
+  - name: nomic-embed-text
+    provider: ollama
+    model: nomic-embed-text
+    apiBase: http://framework:11434
+    roles: [embed]
+
+context:
+  - provider: code
+  - provider: diff
+  - provider: terminal
+  - provider: problems
+  - provider: folder
+  - provider: codebase        # uses the embed-role model above
+  - provider: file
+  - provider: open
+
+# Tab autocomplete intentionally omitted — Qwen3-Coder-30B is too slow
+# for inline FIM. Add a small FIM-trained model later (qwen2.5-coder:1.5b
+# or starcoder2:3b) and wire as roles: [autocomplete].