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The goal: file a GitHub Issue, grab coffee, come back to a PR that’s been implemented, tested, and reviewed by multiple AI models — just waiting for a thumbs up. Not fully there yet, but close enough to be dangerous. Humans decide what to build. AI agents handle the how. Automation runs the boring parts. A human gives the final sign-off. Claude, Gemini, Copilot, and local MLX models each do what they’re best at — the right model for the right job instead of throwing everything at one.

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The pipeline

Green nodes are human, coral are AI, ink are automation. The role is the node colour; the chain is the timeline — no zigzag because the diagram never asks the arrows to leave a column.

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The model-routing philosophy

Every model has a sweet spot:
  • Claude — best at multi-file refactors, deep reasoning, agentic loops. The default for non-trivial implementation work.
  • Gemini — great for second opinions, code review, broad context understanding.
  • GitHub Copilot — fastest for line-level completions inside the editor. Cheap for high-volume routine work.
  • Local MLX — Apple Silicon native inference for typo fixes, quick edits, and “I don’t want to burn cloud tokens on this” tasks. The serving stack, tuning, and model strategy live under Local LLM.
The routing is opinionated, not magic: clear rules in ~/CLAUDE.md and AGENTS.md say which model to use when.

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Local AI gateway (Bifrost)

Bifrost is the OpenAI-compatible HTTP gateway that sits between every AI tool on the workstation and whichever provider eventually answers the call. It exposes http://localhost:30080/v1/chat/completions and fans out to OpenAI, Gemini, OpenRouter, and the local MLX server based on the task class. Tools resolve task classes (Research, Coding, Review, Pre-commit) to a current model at call time — never hardcode model identifiers in committed config. When localOnlyMode is enabled, every request routes exclusively to the local MLX inference server on port 11434. See Bifrost for routing conventions, local-only mode details, and provider capabilities.

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Priority order

  1. Anthropic official — Claude Code plugins, skills, patterns
  2. Bifrost AI gateway — multi-provider routing at localhost:30080
  3. Personal or custom — only when no alternative exists

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Repos that power this pipeline

ai-assistant-instructions

Universal AI configuration layer — rules, permissions, workflows, agents.

claude-code-plugins

Commands, skills, hooks, agents for Claude Code.

nix-ai

Nix package and config layer for every AI coding tool.

claude-code-routines

Scheduled remote-agent routines on Claude.ai.

ai-workflows

Reusable GitHub Copilot agentic workflows.

raycast-smart-issue

Raycast extension for AI-drafted GitHub issues via local MLX.
See AI Development · Overview for what each one does in detail. For the actual triggers, callers, and skill mechanics that drive this pipeline end-to-end, see Automation · Overview.

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Observability layer

Every interaction in this pipeline emits OpenTelemetry. The data flows through Cribl Edge, Cribl Stream, and Splunk; purpose-built Splunk apps visualize it. If an AI agent touched code, there’s a trace.