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.