Stack for AI Engineer
AI Engineer stack 2026
Production-grade agents, evals, and traces.
The AI engineer stack assumes you are shipping LLM features other people depend on. Evals, traces, and reproducible runs are non-negotiable.
Editor
AI Agent
LangGraph
State machines for agents you actually have to debug.
OpenAI Agents SDK
Tight tool-use loop with tracing baked in.
Read moreVercel AI SDK
Edge-friendly streaming for user-facing agents.
Read moreDatabase
Postgres + pgvector
One database for app data and embeddings.
Turbopuffer
Cheap object storage backed vector search at scale.
Deploy
Observability
LangSmith
Traces, datasets, and evals for LangChain and LangGraph apps.
Braintrust
Eval-first observability for prompt and model regressions.
Payments
Stripe Metering
Usage-based billing for token-priced AI products.
Orb
Spec out complex AI usage pricing without writing billing code.
From the DD app suite
DD Agent Hub
Run a crew of specialized AI agents for product, research, and ops.
Sibling stacks
- Full-Stack Developer
TypeScript end-to-end, AI on every layer.
- Technical Content Creator
Record, edit, distribute, repeat.
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