Managing AI Like an Engineering Org: A Multi-Model Coding Workflow
leebase65 · reddit · 2026-08-06
Managing AI Like a Real Engineering Team
The author shares their 'Governed AI Execution Engine' workflow, treating AI models like a real software engineering team by assigning tasks based on a hierarchy of difficulty.
Architecture
- Agent Orchestrator: Ensures the LLM strictly follows coding, testing, and code review steps without skipping or hallucinating.
- Autonomous Engine: Creates a task loop—evaluating missions, building backlogs, getting second opinions, and executing—all routed through the orchestrator.
Model Tiering Strategy
- Senior Models (Expensive/Smart): Used for planning and reviewing.
- Junior Models (Cheaper/Faster): Used for actual code writing.
This approach allows the author to avoid vendor lock-in, mixing and matching OpenAI, Anthropic, and open-weights models (like DeepSeek and Qwen) based on value, with the orchestration layer abstracting the underlying models.
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