8 minutesContext Rot: How Increasing Input Tokens Impacts LLM Performance
Understand how long context can fail under ambiguity and distractors, then design tests around that risk.
AdvancedPrompt Engineering
LangGraph Complete Course for Beginners – Complex AI Agents with Python
freeCodeCamp.org. A long, code-along build through LangGraph's state graphs, nodes, edges, conditional routing, checkpoints, and tool use. By the end you have enough feel for the typed-state, "every transition is explicit" model that the article's comparison to CrewAI and to direct-API code stops being abstract.
AI Expert note
LangGraph's API surface changes between releases, so expect some code-along snippets to need adjusting. The graph-based mental model is the durable part; verify current syntax against the official docs as you follow along.
What you should get from this
You can build a LangGraph agent with typed state, conditional routing, checkpoints and tool use, and feel where the explicitness pays off.
Watch or know first
Solid Python and LLM API basics; expect to code along for three-plus hours.
Last reviewed: May 18, 2026
Watch next
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Understand why screenshot-based computer use is powerful, slow, expensive and brittle compared with API-native automation.
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Take it further
Hand-picked external courses that go deeper on this topic.
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