☕ Learning path
Learn Coding with AI.
The method behind getting great code out of AI: the right mental model, the training cutoff, managing context, planning then dictating, and the prompt that ties it together. Build a real coding prompt as you go.
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New to the lingo? A model can hallucinate code that does not exist, and it knows nothing past its training cutoff. You steer it with a clear system prompt inside its context window, and a coding agent can run and fix its own code. Hover any underlined word for a quick definition, or click to learn more.
- ReadHow to write code with AI A practical, no-hype method: set expectations, work around the training cutoff, manage context, plan then dictate, test everything, and know when to take over.
- ReadAI Coding Prompt Builder Assemble a precise coding prompt: pick plan-or-build mode, then toggle signature, types, tests, stable libraries, and fresh docs. Copy-paste ready.
- ReadWhat is a context window? The model's working memory, tokens, what fills it, why it runs out, and how to manage it.
- ReadContext Window Visualizer See how your system prompt, history, retrieved docs, and output fill a model's context budget.
- ReadWhat is tool calling (function calling)? How a model decides to call a function, returns structured arguments, and your code runs it, the basis of agents.
More routes: all learning paths, the skill tree, or the knowledge map.