An agentic AI engineer maps out a full modern MLOps and coding stack
kmeanskaran · x · 2026-07-26
An Agentic AI + MLOps engineer shares the stack they currently rely on.
The list spans core engineering infrastructure and agent tooling:
- Python, Docker, CI/CD, AWS, Terraform, Kubernetes, networking, Linux
- LangGraph, FastAPI, Redis, Postgres, MongoDB, Qdrant, Neo4j, Next.js
- Langfuse, Feast, PyTorch, Unsloth, vLLM, Hugging Face, Claude Code
It reads like a snapshot of the modern agent/MLOps workflow, mixing deployment, orchestration, observability, data stores, and model serving.
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