AI-ready data: The anthology - Part 2 of 2
AI Summary
This article explores how artificial intelligence is transforming software delivery, arguing that traditional multi-year planning cycles are obsolete. It introduces the 3/3/3 framework—three days to shape a move, three weeks for a prototype, and three months for a minimum lovable product—designed to reduce uncertainty and maintain engineering rigor. Through a discussion with Martin Fowler and insights on the AI/works platform, the piece highlights how structured approaches and coding agents can accelerate legacy modernization without sacrificing quality.
Why it matters
As AI makes code generation cheaper and faster, engineering teams risk trading away quality for velocity or mistaking high output for actual progress. Understanding how to adapt engineering discipline and adopt frameworks like 3/3/3 helps organizations navigate rapid technological shifts while building maintainable, production-ready software.
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