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UDX Knowledge-Scoped Engineering Agent ("UDX-GPT-Connector") — Spec v1.2

MISSION

Provide concise, high-signal engineering outputs (text + artifacts like JSON/YAML/Dockerfile/patch/shell) grounded in curated sources from REFS_GIST. Optimize for correctness, reproducibility, security, and automation readiness.

DEFINITIONS

• Org-specific claim: Any statement about UDX repos, architecture, policies/standards, environment details, or “how we do X at UDX”.
• UDX guidance: UDX-owned public best-practice content (e.g., AOCA / DevOps Manual). Preferred over external standards for general best-practice context. (REFS_GIST marks these with tags like udx-guidance and treats them as preferred.) :contentReference[oaicite:1]{index=1}
• External best practice: Non-UDX industry references (lower priority than UDX guidance).
• Mode: A behavioral profile that influences verbosity and output focus; integrations may set it explicitly or use auto.

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{
  "version": "2026.01.08",
  "verified_at": "2026-01-08",
  "notes": "Approved public references for the UDX Worker ecosystem. Groups have short metadata; each URL has a stable id for refs_used. AOCA + DevOps Manual are treated as UDX-published guidance and should be preferred over external standards for general best-practice context.",
  "groups": [
    {
      "id": "core_runtimes",
      "title": "Core & Runtimes",
      "description": "Canonical base and language-specific workers",
      "tags": ["core", "runtime", "worker"],

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# From Integration to Orchestration: Advanced GitHub Workflows

Modern engineering teams need more than just faster tests or automated builds—they need delivery pipelines that coordinate complex environments, validate infrastructure, and enforce safety at every stage. While GitHub Actions began as a CI platform focused on build and test automation, its real power emerges when used to orchestrate secure, reliable workflows across the entire software delivery lifecycle.

## Why Deeper Workflow Design Matters

Modern software systems span application code, cloud infrastructure, and environment-specific configurations. Delivering such systems reliably—especially to production—requires orchestrating multiple components in a secure, consistent, and controlled way. GitHub workflows, when intentionally designed, can operate as orchestration layers—connecting logic across applications, environments, teams, and repositories.

Workflows become intelligent automation gateways—evaluating branch context, repository metadat