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The prevailing assumption in AI adoption has been that bigger, smarter, general-purpose models are always the right answer. Datadog just put a dent in that assumption. This week, Datadog introduced Scout 1.0, an AI model trained specifically to investigate production

Anthropic published internal research this week that is hard to dismiss. Their own data shows entry-level technical hires dropping from 27% of all technical hires to just 9% since early 2025. That is not noise. That is a real structural

If your deployment pipeline calls an external service, there is a good chance it does so using an API key stored somewhere in your infrastructure. A text string. Created once, copied into a config file, and then mostly forgotten until

Microsoft quietly published something that the AI industry is still processing. Their new model, MAI-Base-2, has 2.8 trillion parameters. The previous generation of top-tier models measured in the hundreds of billions. This is a different scale entirely. Parameters are the

Every engineering team has a version of this problem. There is an API key buried in a CI/CD pipeline that was configured by someone who left the company a year ago. It still works. It has full access to whatever