DIJJI.ai 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.
Software engineering built an entire discipline around one fact about dependencies — they're maintained by someone else, so they change — and the whole apparatus of versions, pins, changelogs, and rollback exists to let a team choose when to absorb that change. The most load-bearing dependency a team has now taken on doesn't hold still, and none of the instruments that managed the others apply to it.
Testing looked like the discipline AI authorship should improve — the chore gets written for you, the coverage number only goes up. It hollows out instead, because a test's power was never the assertion or the coverage. It was the independence between the test and the code, and co-generation collapses both into one source.
Security review looked like the one discipline AI authorship couldn't touch — it was already adversarial, already reading code it didn't write. It breaks first anyway, because three conditions that made it viable at the current team size went away at once: a throttle on production, an author to interrogate, and a gradient that told scarce suspicion where to look.
Guides, concepts, and reference for operating DIJJI.ai day to day.
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