The Missing Layer in the Trillion-Dollar AI Dev Stack

Andreessen Horowitz recently published a strong overview of the new Plan → Code → Review loop shaping AI-assisted development. The ecosystem is filling in fast: planning tools, coding agents, AI PR reviewers, and QA automation.

The piece even nods toward early signs of coordination — version control for agents, intent tracking, and semantic layers around provenance. But what it doesn’t yet explore, and what defines the next wave, is orchestration: the intelligence layer that connects those stages into one governed, learning system.

At TurinTech, we call this Artemis Intelligence — The System Above the Models and agents. It sits above individual tools and actions, maintaining intent, enforcing policy, and validating outcomes as humans and AI agents collaborate. Instead of adding another agent, it coordinates all of them,

Why Orchestration Matters

Today’s AI tools generate and review code faster than ever,  but without orchestration, they drift.

Each system handles a different part of the lifecycle:

• Planning agents draft tasks or specs
• Code generators execute them
• Review bots check the results
  
  

Each works well in isolation, but rarely shares a continuous thread of intent. Context resets at every hand-off, creating duplication, drift, and risk.

A true orchestrator bridges those gaps. It tracks the why behind every goal, coordinates multiple agents (and humans) against it, validates their output, and learns from every run, turning AI from a set of disconnected tools into a coherent engineering system.

Where Planning Fits

In Artemis, planning is the first visible interface of that orchestration layer.

Interactive Q&A captures goals and constraints, translating them into structured, adaptive plans that allocate work across agents and humans. These plans then break into precisely scoped agent and human tasks — optimized for execution and validation under shared guardrails.

Done well, planning ensures intent and context are captured up front, producing optimized, validated instructions that anchor execution, testing, and optimization throughout the development cycle.

Planning shows what the orchestration layer can do at scale: unify purpose, maintain context, and keep every action accountable to outcome.

What’s Next

In the coming days, we’ll share how planning itself is evolving into a true multi-agent control point — uniting human judgment, AI reasoning, and system feedback within a single adaptive workflow.

The AI dev stack is getting crowded. The breakthrough won’t come from more generation, but from orchestration -  from the intelligence that keeps every agent, human or AI, working toward the same goal.