A senior developer watches a four-minute demo, feels fifteen years of craft evaporate, and does what any rational person would do at midnight: panics.

This is what happened next. Not the polished version - the real one.

From a twelve-word prompt that produced embarrassingly basic code to orchestrating eight parallel AI agents building a trading analytics platform, It AI'nt That Hard is the honest story of one developer's year with AI coding tools. Including forty-seven merge conflicts on a Monday morning, an agent that passed empty tests for three days, and a PR approved with two critical files missing.

What you'll find inside:

• How to go from "generate a function" to directing multi-agent systems that build real software
• Context cascading, contract-first workflows, and the infrastructure that makes AI-assisted development actually work
• Why your AI agent confidently builds the wrong thing - and the specific guardrails that stop it
• The economics nobody mentions: token costs, context windows, and the 70% waste problem
• What changes about your job when the machines do the building (and what doesn't)

The fear nobody talks about at conferences

The self-doubt was real - 262-line workflow protocols, an existential crisis about craft, and the growing suspicion that all this infrastructure might be anxiety with a build system. This book is the story of working through the fear, the over-engineering, and the slow discovery of what the job actually becomes when machines do the building.

Part memoir, part field guide. For experienced developers navigating the shift. For the honestly curious. For anyone who suspects there's a space between "AI will replace us all" and "AI is just autocomplete" where the interesting work actually happens.

There is. It's just messier than the demos suggest.