Building a 12-Factor Agents App in Python

Discover why reliable AI agents require more than delegating work to off‑the‑shelf frameworks. This foundational course introduces the 12‑Factor Agents methodology, distilling lessons that separate flashy demos from production systems. Learn how well‑engineered software augmented with targeted LLM integration—and twelve clear principles—yields maintainable, scalable, and trustworthy agentic apps.

Master the practical building blocks of agentic systems in Python. Covering Factors 1, 3, 4, 8, and 9, you’ll prompt for structured outputs, define and validate tool schemas, own the context window, and run explicit loops that you control. You’ll also compact execution errors back into context for self-correction, turning natural language requests into reliable tool executions.

Turn scripts into reusable components by embracing stateless design. With Factors 2, 5, 10, and 12, you’ll externalize prompts, unify execution and business state, and build a reducer-style agent that takes state in and returns state out.