Second installment of Gergely Orosz's annual survey of how engineering teams are integrating AI tools, with hard data on usage, trust, and productivity effects.
The Pragmatic Engineer· 14 min read· 2026Save this - and 500 more like it - to your library.
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youtube.comThe Braid/Witness creator argues that software quality is collapsing generation-by-generation and nobody notices because the abstraction layers hide it. Karpathy called it "a bear case for monotonic progress of technology." Uncomfortable and hard to unsee.
Engineering schedules often slip even with predictable technologies, and the non-deterministic nature of LLMs makes their future inherently unpredictable.
Gruber's Apple Intelligence post-mortem: Cupertino shipped a Siri demo it couldn't deliver. The hard AI bet isn't capability, it's reliability.
