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Most AWS Lambda tutorials start with the same awkward step: take your web application and break it into a pile of event-handler functions. Every route becomes its own Lambda. Your Express middleware disappears. Your Next.js app becomes an archaeology project.

You hand a project to one AI assistant and it’s done in minutes. You hand it something bigger, and suddenly you need five assistants, a coordinator, and someone keeping track of who passed what to whom. Anthropic just changed who

Atlassian and OpenAI Just Made Jira Smarter. Your Dev Team Will Feel It. Three thousand Atlassian developers already use Codex in their daily workflow. That’s not a beta test or a pilot program. It’s production-scale adoption, and it sets the

Microsoft Built Its Own AI Chip. Here’s Why That Changes AI Costs. The world runs AI on NVIDIA hardware. That single dependency has made GPU supply chains a strategic bottleneck for companies building AI products, driven up the cost of

Running a CI/CD pipeline that fires a hundred short jobs a day? Or an AI coding agent that needs a clean, isolated environment for each task? You’ve probably been paying for servers that sit idle between those bursts — because