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Francis J. DiTraglia's avatar

Great post. I found it amusing that the name of the project Claude code built for you was Codex given that OpenAI’s competing coding agent has the same name!

Three tips that I’ve found useful in my own work: (1) using Claude Code with GitHub creates a nice trail of breadcrumbs for Claude to follow and also allows you to roll back from its inevitable mistakes; (2) Using OpenAI’s codex to do a code review on every commit be Claude Code can be amazingly effective at spotting errors sooner rather than later; (3) Asking Claude code to write up detailed project specifications and store them as markdown files in the repo helps avoid some of the issues you mentioned since you can put an instruction in CLAUDE.md to check against these other documents before planning the next batch of changes.

These tools are absolutely a game changer. Relatively few of my colleagues in academic Econ have noticed this yet but 2026 is going to be wild…

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Michael LeMay's avatar

As a software engineer (@ meta) I’d say it’s here. We already did it. Whether it’s AGI or not is interesting to discuss, but from a product engineering perspective it’s already over.

But

1) we have not internalized this organizationally and are obsessed with the metrics that made sense for tracking human-only productivity

2) it makes the soft parts of the job, being a good dependable curious person who is positive sum, even more valuable

3) it makes knowing the right thing to build, and making actual decisions you stick to organizationally, even more important. The good organizations are now going to do even better. The dysfunctional political ones are going to get nowhere just the same as before

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