A 12-Layer Production AI Agent Stack From Someone Who Built 400+ Agents
MaryamMiradi · x · 2026-08-18
A practitioner who claims to have built 400+ production AI agents shares their 2026 production agent stack, arguing that while generating agent code keeps getting easier, production reliability comes from the architecture around it. The 12-layer stack's revealed portions include:
- Layer 1: Input & Validation — define what the agent can receive; validate type, format, size, required fields. Bad input should fail before reasoning.
- Layer 2: Context Engineering — give the model only what it needs now; combine instructions, state, retrieved data, tool results. More context is not always better.
- Layer 3: Skills — package repeatable capabilities into reusable workflows with clear purpose and boundaries (investigate incident, review contract, create eval suite).
- Layer 4: Hooks — run deterministic logic at key lifecycle points.
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