DIJJI Academy Engineering work in the AI era — what works, what breaks, what compounds.
Articles on what AI-augmented engineering work actually looks like, alongside documentation for teams operating DIJJI.ai.
The review bar was always a bundle of conditions enforced through the author's capacity to defend the choice. AI authorship pulled the bundle apart — some strands now pass for free, some can no longer be checked the old way, and new strands appeared that have no precedent. The bar is becoming several bars; each has to be picked up by name.
For two decades, seniors led greenfield (architectural judgment) and juniors handled brownfield (pattern mimicry). AI is strongest in brownfield and weakest in greenfield, inverting which kind of work needs which kind of engineer — and most teams are still staffing the old way.
The deployment cycle was tuned around an asymmetry — writing code was expensive, shipping it safely was the constraint. AI inverted that, and three of the cycle's most-trusted habits (small PRs, green CI, rollback as safety net) quietly stopped working the way they used to.
Guides, concepts, and reference for operating DIJJI.ai day to day.
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