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Most RAG tutorials end when the chatbot answers a question about a PDF. I wanted to find out what comes after that: how do you know it works, who is allowed to see what, what happens when a document tries to give it orders, and how do you ship it without paying for anything? This post walks thr...
For a long time my release process looked like this: build a feature, test it well on staging, and then be told it should go live after business hours. So I'd stay up, merge the pull request at the right time, watch the deploy, and be ready to roll it back. That's a boring job for a person.
Along with 'Artificial,' 'Musk' and 'The Social Reckoning,' the storytellers are finally getting back at the engineers.
Building FlakyDetector 0. 2. 2: Why Test Reliability Needs Evidence, Not Just a Score By Artem Alimpiev — Python Backend Developer and creator of FlakyDetector The most useful question I asked while working on FlakyDetector was not, “How many suspicious patterns can I detect?