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AI Engineer Path

The path from curious engineer to confident AI builder. Not just what to use — but how to think in systems, understand what's actually happening under the hood, and ship AI that runs in production.

287 articles·~50 hrs total·11 topics
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What you'll build

From LLM fundamentals to production-grade AI agents at scale. Master transformer architecture, prompt engineering, RAG pipelines, agent patterns, evaluation, debugging, and deployment — everything a senior AI engineer needs. Every article includes best practices, code examples, and diagrams.

LLM Foundations

Free
19 articles

Everything a software engineer needs to understand about large language models: how transformers work, the model landscape, prompt engineering as a discipline, and when and how to fine-tune.

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LangChain

v1.2
50 articles

The developer interface for building with LLMs. One API for every model, composable chains, tools, memory, and structured output.

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LangGraph

v1.1
25 articles

The execution engine for agents. State machines, persistence, human-in-the-loop, streaming, and graph-based control flow.

0/25Start →

Deep Agents

new
9 articles

The agent harness layer. Built-in planning, virtual filesystem, subagent spawning, context engineering, sandboxes, and IDE integration via ACP.

0/9Start →

Agent Architecture

48 articles

All agent patterns in one place: single-agent (ReAct, Reflection), multi-agent (Supervisor, Swarm, A2A), workflow (Router, Orchestrator-Worker), plus system design, memory, and frontend.

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Advanced RAG

22 articles

Deep dive into retrieval-augmented generation: chunking strategies, hybrid search, re-ranking, graph RAG, and production RAG pipelines.

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Evaluation & Quality

20 articles

Master AI evaluation: LLM-as-judge, automated testing, A/B experiments, red-teaming, and agent-specific quality measurement.

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AI Engineering Judgment

25 articles

When (not) to use AI, debugging non-deterministic systems, AI UX patterns, and compliance — the engineering judgment that separates senior from junior.

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Production & Scale

35 articles

Ship agents to production: Agent Server deployment, error handling, scaling, cost optimization, security, data engineering, and inference optimization.

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Integrations

18 articles

LangSmith for observability, OpenTelemetry for tracing, MCP for infinite tools, voice and multimodal agents, and real-time streaming patterns.

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Industry AI Agent System Design

NEW
16 articles

Real-world AI agent system design problems inspired by Devin, Perplexity, Klarna, Stripe, and more. Learn to design full AI systems the way top companies build them — architecture, trade-offs, scaling, and production concerns.

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