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Articles tagged with #python
Building an AI agent prototype is straightforward. Making it reliable in production is not. Rate limits must be retried with backoff. Context windows fill up and must be pruned carefully. Tool calls n
Training ML models has an environmental cost that most practitioners do not measure. A model trained during peak grid hours, when coal and gas plants are meeting high demand - can emit significantly m
AI API costs can spiral faster than anyone expects. A runaway loop, a misconfigured batch job, or a forgotten test that fires thousands of requests - by the time you see the bill, the damage is done.
Architecture degrades gradually. A circular dependency here, a god class there, a controller reaching directly into the database layer. Each violation is small on its own. Over time they compound into
You are about to push. There is a hardcoded API key buried in one of 30 changed files. Or you forgot to write a test for that new module. Or the test suite is silently failing. You will not know until
Writing post-mortem root-cause summaries is time-consuming and inconsistent. Junior SREs miss contributing factors. Senior SREs write summaries that vary in depth and structure. Zero-shot LLMs produce
