AI Agent Engineering Journey
A 12-week learning journey to master AI agent development. Six sprints from context engineering to production agent systems.
Context Engineering
Build CLAUDE.md as meta-level documentation, context hierarchies for agent systems, and prompt engineering for reliable agent behavior.
Weeks 1-2
Workflow Automation
Build MCP servers, tool definitions, structured outputs, and single-agent workflows with error handling.
Weeks 3-4
Agentic Patterns
Master multi-agent orchestration patterns: fan-out, pipeline, supervisor, and debate protocols.
Weeks 5-6
Integration & Systems
Production deployment, agent safety guardrails, human-in-the-loop patterns, and comprehensive observability.
Weeks 7-8
Advanced Application
Build autonomous workflows, self-improving agents, agent-as-service architecture, and systematic evaluation frameworks.
Weeks 9-10
Capstone & Transfer
Build a production agent system that serves a real cross-team need at Ideawise.
Weeks 11-12