Building an AI Agent in 6 Weeks (and Finally Understanding How They Work)
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Jeff Haemer, a veteran software developer with decades of experience but limited Python and no AI background, completed a 6-week Python Agentic AI cohort and built a production-ready expenses agent with ~250 unit tests, 100% coverage, and three interfaces (web UI, CLI, Telegram bot). Key lessons include building core logic before interfaces, the value of mocking for unit vs. integration tests, using AI as a teaching assistant rather than code generator, and how hands-on building creates lasting mental models that reading alone cannot.
Table of contents
The gapCore logic first, interfaces on topMocking, the thing he kept putting offAI as teaching assistant, not autopilotUnderstanding by building28K Impressions