Learn the 12-Factor Agents methodology by building a complete agentic application in TypeScript. Master structured outputs, function calling, context management, stateless reducers, pause/resume functionality, human-in-the-loop workflows, and API integration with database persistence.
Overview
Syllabus
- Course 1: Understanding the 12-Factor Agents Methodology
- Course 2: Foundations of Agentic Tool Use in TypeScript
- Course 3: Developing a Stateless Agent in TypeScript
- Course 4: Exposing Agents with Simple APIs in TypeScript
Courses
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Discover why reliable AI agents require more than off-the-shelf frameworks. This foundational course introduces the 12-Factor Agents methodology and the principles that separate flashy demos from production systems. Learn how sound software engineering, targeted LLM integration, and twelve clear principles yield maintainable, scalable, trustworthy agentic apps.
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Master the practical building blocks of agentic systems in TypeScript. Covering Factors 1, 3, 4, 8, and 9, this course teaches structured model outputs with the official OpenAI TypeScript SDK, typed tool schemas, explicit context management, and controlled loops that execute tools and compact errors back into context.
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Turn scripts into reusable components by embracing strict types and stateless design. With Factors 2, 5, 10, and 12, students externalize prompts, unify execution and business state, and build a reducer-style agent that takes state in and returns state out.
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Transform your stateless agent logic into a backend service. Applying Factors 5, 6, 7, and 11, this course shows how to decouple agent execution from user interfaces. Persist unified state in a relational database, orchestrate runs through REST endpoints, control Launch/Pause/Resume, and connect autonomous execution with human intervention through tool calls.
