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Been thinking about this question more and more in the context of AI automation. A lot of SWE (apart from design and org politics) is just chaining calls to APIs.

Analysis is just calling APIs to get data. We use that to drive a decision and then we write code and use APIs to deploy it. We close the loops with the same data/metric APIs to verify our code achieved an outcome.

I wonder if this is why SWE seems so susceptible to automation - LLMs are great at chaining together calls to APIs.

Just a thought - I know there's a lot of diversity in SWE and this may not apply everywhere. I can think of holes in this line of reasoning (ex. we make decisions about the product during this process) but want to hear others' opinions.

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Article URL: https://arobenko.github.io/bare_metal_cpp/#_abstract_classes

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Am I the only one not able to access my Claude.ai account for the past few days because their email sending provider is no longer working for certain email domains?

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Article URL: https://huggingface.co/sarvamai/sarvam-105b

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Article URL: https://github.com/fugue-labs/gollem

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Here are the answers for The New York Times Mini Crossword for March 7.

Article URL: https://www.ktvu.com/news/man-stabbed-back-sfs-chinatown-suspect-arrested

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Article URL: https://github.com/little-book-of/algorithms

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Article URL: https://github.com/L42ARO/Mercury-Transforming-Drone

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Article URL: https://github.com/Aquantia/aqtion-freebsd/issues/32

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Article URL: https://www.everydev.ai/p/news-ai-dev-news-digest-march-6th-2026

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Article URL: https://twitter.com/tqbf/status/2030102845089804473

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Article URL: https://git.disroot.org/bsdclown/filthy_human_hands

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Article URL: https://www.bloomberg.com/news/articles/2026-03-06/anthropic-unveils-amazon-inspired-marketplace-for-ai-software

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Roast AI products which are coming from all over the world.

Throw tomatoes and flip-flop on them.

And enjoy the rest of your day.

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Article URL: https://en.wikipedia.org/wiki/Ontology_(information_science)

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