Building the QWEN3.6 – Codex Bridge Furthe + Kindergarten Harness Reality Check

Disclosure: Some links in this article are affiliate links. AI Maestro may earn a commission if you make a purchase, at no…

By AI Maestro May 13, 2026 2 min read
Building the QWEN3.6 – Codex Bridge Furthe + Kindergarten Harness Reality Check

“`html




Building the QWEN3.6 – Codex Bridge Furthe + Kindergarten Harness Reality Check

Building the QWEN3.6 – Codex Bridge Furthe + Kindergarten Harness Reality Check

I’ve made some progress with my harness for running Qwen 3.6 model on Codex. While testing, analyzing, and building the harness, I evolved TBG(O)llama-swap into a full forensic UI bridge and LLM analytics tool where every harness finding, modification, correction, tool call, reasoning step, and execution flow is fully visible.

This level of transparency was necessary to identify the behavioral differences between native OpenAI models and Qwen 3.6, and to fine-tune the harness accordingly.

Building the QWEN3.6 - Codex Bridge Furthe + Kindergarten Harness Reality Check
Note: This is a placeholder image. The actual link and alt text should be provided.

The video shows a full Codex run on Qwen 3.6 running on a single NVIDIA GeForce RTX 5090. (Codex in VS Code → tbg(o)llama-swap → llama.cpp with qwen 3.6 27B)

The ongoing work can be checked here: GitHub, First post, second post.

Current Status

  • apply_patch
  • apply_patch create/update/delete flow
  • create_file requires non-empty diff or content
  • update_file requires non-empty diff or content
  • delete_file works without diff
  • shell
  • web_search
  • web_search using TBG(O)llama-swap built-in web search
  • file_search
  • view_image
  • request_user_input
  • update_plan
  • spawn_agent
  • wait_agent
  • send_input
  • resume_agent
  • close_agent
  • supports_search_tool catalog inconsistency
  • agent_send_input_roundtrip
  • agent_subagent_same_model
  • shell_patch_verify_sequence
  • web_research_then_notes
  • plan_act_switch_impl
  • multi_web_patch_verify
  • skill_create_and_use_local
  • workspace_summary_then_plan
  • skill_read_local
  • direct_plan_no_web
  • web_research_then_plan
  • file_search_then_patch
  • view_image_then_report
  • invalid apply_patch retry exhaustion no longer finalizes with fake progress prose
  • safer recovery branch after broken apply_patch
  • false patch-intent/path-hint extraction from instructions
  • reconnect bug caused by unhealthy or duplicate upstream adoption
  • long delayed 502 timeout path shortened and improved
  • native-vs-local contrast harness:
  • init
  • compare
  • per-scenario comparison.json
  • top-level comparison_summary.json
  • tool-surface diff
  • item-type diff
  • stream/completion diff
  • final visible text diff
  • grouped UX-summary diff
  • Implemented in the Bridge Contract

    • stricter separation of:
  • visible assistant text
  • tool call items
  • tool outputs
  • file/code artifacts
  • Fixed Enough To Work, But Still Not Native-Perfect

    • grouped searches
    • grouped tool calls
    • grouped file changes
    • collapsible internal history

    Fixed

    • mcp__playwright__browser_navigate
    • mcp__playwright__browser_snapshot
    • mcp__playwright__browser_click
    • mcp__playwright__browser_evaluate
    • mcp__playwright__browser_resize
    • mcp__playwright__browser_take_screenshot

    Still Not Fully Closed / Needs More Work

    • full native-style grouped worker UX parity
    • some remaining model-quality quirks during long multi-step runs
    • continuation/reporting polish around malformed reasoning/text splits

    Important Nuance:

    • llama-swap now preserves and exposes these much more accurately
    • however, the WSL Codex router still rejects Playwright leaf calls as unsupported in this surface
    • this is now tracked as a known limitation, not an active llama-swap bridge bug

    Note: The placeholder image and GitHub links are provided for demonstration purposes. Actual references should be verified.



    “`


    Originally published at reddit.com. Curated by AI Maestro.

    Stay ahead of AI. Get the most important stories delivered to your inbox — no spam, no noise.

    Name
    Scroll to Top