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Fix grammar and enhance clarity in the Phoenix post
Corrected grammatical errors and improved clarity in the text.
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posts/the-phoenix-reborn.post

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## The Phoenix Reborn
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If you haven't read "The Phoenix Project" yet, this is your sign from the universe
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telling you that it's time. Go on, this post will still be here when you get back?
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telling you that it's time. Go on, this post will still be here when you get back.
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Still here? Cool.
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### A very quick Phoenix Project Recap
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An extremely condensed take of the central point of "The Phoenix Project" is:
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An extremely condensed take on the central point of "The Phoenix Project" is:
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> Shorten feedback loops as much as possible
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In the book and day-to-day devops, that's achieved in several ways:
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In the book and day-to-day DevOps, that's achieved in several ways:
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* Colocating ops resources on dev teams, instead of siloing them in separate orgs
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* Making use of CI to provide fast feedback in a dev-like environment
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* Making use of tests in the development flow
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Each of these seeks to reduce the amount of time a problem sits waiting before it
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can be addressed by someone with the knowledge to fix it.
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### Code is free but you are still in chains
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### Code is free but specification is still expensive
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The change in quality of output from top-tier LLMs in late 2025 changed the game.
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The step in quality of output from top-tier LLMs in late 2025 changed the game.
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Code is now easy to produce in good quality and high quantity. The new gap is one
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that has always existed: *understand whole problems and write a plan detailed enough
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to make a solution*.
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that has always existed: understand whole problems and write a plan detailed enough
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to make a solution.
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Spec-driven development is a particularly promising output of this; structured input
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that captures every possible problem, solution, and decision in a small problem space.
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* Linter
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* Autoformatter
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* Tests
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* CI/CD pipelines (and access to read/run them!)
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* CI/CD pipelines
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This is how you provide fast feedback and get good results; it's exactly the same
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principle that devops was built on.
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Make your AI aware of them, make it use them, and make it constantly review its own work
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(or get another model to do it).

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