The Pragmatic Engineer 20260408 DHH's New Way of Writing Code Summary

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The Pragmatic Engineer surfaced this April 8, 2026 piece, and the original post is DHH’s new way of writing code.

Gergely Orosz interviews David Heinemeier Hansson about a notable reversal. Six months ago, DHH said he did not want AI writing his code. Now he describes an agent-first workflow built around terminals, tmux, Neovim, and multiple models running in parallel. His argument is not that the principles of software craft changed. It is that the tools improved enough to make delegation worthwhile. Autocomplete used to feel annoying and low-value; newer agents can now produce code that he is comfortable reviewing and sometimes merging with minimal changes.

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Techmeme 20260406 Anthropic Expands Partnership with Google and Broadcom for Multiple Gigawatts of Next-Generation Compute Summary

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Techmeme surfaced this announcement on its April 7, 2026 front page, and the original post is Anthropic expands partnership with Google and Broadcom for multiple gigawatts of next-generation compute.

Anthropic says it signed a new deal with Google and Broadcom for multiple gigawatts of next-generation TPU capacity, with the new compute expected to start coming online in 2027. In the same post, Anthropic says its run-rate revenue has passed \$30 billion, up from about \$9 billion at the end of 2025, and that the number of customers spending more than \$1 million annually has doubled from 500-plus in February to more than 1,000.

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The Pragmatic Engineer 20260407 Cycles of Disruption in the Tech Industry with Software Pioneers Kent Beck and Martin Fowler Summary

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The Pragmatic Engineer surfaced this piece in its April 7, 2026 issue, and the original post is Cycles of disruption in the tech industry: with software pioneers Kent Beck & Martin Fowler.

Gergely Orosz summarizes a live conversation with Kent Beck and Martin Fowler about how AI compares with earlier technology shifts like the internet, object-oriented programming, and Agile. Their broad argument is that AI feels bigger, faster, and messier than those earlier transitions, and that it is already changing how software teams work, how companies measure performance, and what good engineering discipline looks like.

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