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T3 Code Fork Makes Local Models Default

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T3 Code Fork Makes Local Models Default
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// 32m agoPRODUCT UPDATE

T3 Code Fork Makes Local Models Default

MiaAI-Lab’s T3 Code fork adds a Settings → Inference page for connecting Ollama, LM Studio, llama.cpp, vLLM, SGLang, and other OpenAI-compatible servers. Local models become the default, with cloud providers retained as fallback options.

// ANALYSIS

This is a meaningful shift from AI coding subscriptions toward self-hosted inference, turning T3 Code into a local-first orchestration layer.

  • –Registers inference servers and links them directly to Pi, OpenCode, or Codex without manual provider configuration
  • –Queues requests per GPU server to prevent parallel coding threads from overwhelming local hardware
  • –Adds health monitoring, fallback routing, token metrics, cache statistics, and latency tracking
  • –Keeps titles, commits, pull-request text, and other background generation on local models
  • –The main caveat is distribution: this is an independent fork, not an upstream T3 Code release
// TAGS
t3-codeai-codingcoding-agentinferenceself-hostedlocal-firstopen-sourcedevtool

DISCOVERED

32m ago

2026-11-08

PUBLISHED

1h ago

2026-11-08

RELEVANCE

9/ 10

AUTHOR

0x0SojalSec