Next LLM · AI Frameworks
AI Frameworks
Not written yet — the orchestration layer on top of raw LLM calls. MCP already has its own track; this one covers the rest.
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Overview
What belongs in this track once it's written.
◆ Planned topics
Step 5 of the AI Engineer roadmap: the frameworks used to build LLM applications, plus the framework-agnostic patterns interviewers actually probe (why this framework, when to use it, its limits, how you'd run it in production).
- LangChain
- LangGraph
- LlamaIndex
- Tool calling
- Structured outputs
- Memory (short-term, long-term, and framework-managed)
- What happens when the agent selects the wrong tool? (detection, recovery, guardrails)
MCP (Model Context Protocol) has its own dedicated track — see that section instead of duplicating it here.
Fill this page in question-by-question the same way the other tracks are written, then this callout can go.