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Coding AI Forge — Writing code in the AI tide
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Python AI Engineering

Practical AI engineering with LLMs and agents in Python — model APIs, prompt design, agent workflows, and developer tooling.

Python is the number one language for AI engineering, and this section is where that happens: LLM APIs, AI agents, and the developer tooling that turns them into real products.

From calling model APIs and designing prompts to building multi-step agent workflows with tools and memory, every guide here is written to be copy-ready: paste the code, adapt it to your project, and ship.

What you'll learn

  • LLM APIs — integrate chat, embeddings, and streaming with copy-ready code.
  • AI agents — tool use, memory, and multi-step workflows that get real work done.
  • Developer tooling — prompts, guardrails, and evaluation patterns for production.

Start with an LLM API guide if you are new to working with models, then move on to agent patterns once you have a reliable integration in place.