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AI-driven software development holds great promise. But so far, the productivity results have been disappointing. Despite this, engineering managers are being directed to increase AI usage and spending. How to bridge this gap? We need a way to better steer AI agents and thus avoid the off-course “drift” that requires laborious downstream correction. Spec-driven AI development can be an answer to this productivity crisis – it shifts the focus from just generating more code faster to capturing clear intent in shared specifications. These specs guide AI to produce consistent, reliable implementations tied to business goals. As a result, collaboration gets easier, and teams are able to deliver more predictable, repeatable results. We’ll demonstrate a complete, spec-driven development loop inside IntelliJ IDEA with JetBrains AI. Starting from a requirements doc, tickets, and meeting notes, we’ll use AI to draft an implementation plan, generate the initial code, and create related tests automatically. Then, we’ll refactor and validate the code against the original spec. 👉 Want to try JetBrains AI for your team? Visit https://jb.gg/jb-ai #SpecDrivenDevelopment, #AIProgramming #SoftwareDevelopment #IntelliJIDEA #JetBrainsAI #AI