Web Application Development & Coaching
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
Microsoft has been working with OpenAI’s models for years. They built Azure OpenAI, invested billions in the partnership, and for most of the enterprise world, “Microsoft AI” and “GPT-4” became practically synonymous. That era is not ending, but it is
Pulumi ESC’s new OIDC token provider replaces long-lived stored API keys with short-lived credentials that expire automatically. Here’s why that matters for your infrastructure.
Microsoft’s MAI-Base-2 is a 2.8 trillion parameter Mixture of Experts model designed for enterprise agentic tasks. Here’s what it means for businesses using Azure.
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