US Department of Labor launches landmark initiative to integrate artificial intelligence skills into Registered Apprenticeships nationwide - U.S. Department of Labor (.gov)
US Department of Labor launches landmark initiative to integrate artificial intelligence skills into Registered Apprenticeships nationwide U.S. Department of Labor (.gov)
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How to Choose Your MVP Tech Stack
Choosing a tech stack for an MVP is not a technical decision. It is a product decision with technical constraints. Getting it wrong costs more time than getting it right costs thought. Most engineers default to what they know best. That is a reasonable starting point and often the wrong answer for the product stage you are actually in. Key Takeaways Stage determines stack: a validation-stage MVP needs a different stack than a scale-stage product, and treating them the same way is expensive. Low-code is a legitimate production option in 2026: Bubble, FlutterFlow, and Glide support real production workloads; dismissing them on principle without evaluating them is bias, not engineering. Custom code has a real cost at the MVP stage: developer time spent on infrastructure, auth, and payments is
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MCP App CSP Explained: Why Your Widget Won't Render
You built an MCP App. The tool works. The server returns data. But the widget renders as a blank iframe. You've hit the #1 problem in MCP App development : Content Security Policy . This post explains exactly how CSP works in MCP Apps, what the three domain arrays do, the mistakes that cause silent failures, and how to debug them. By the end, you'll never stare at a blank widget again. The sandbox model Every MCP App widget runs inside a sandboxed iframe. On ChatGPT, that iframe lives at a domain like yourapp.web-sandbox.oaiusercontent.com . On Claude, it's computed from a hash of your server URL. On VS Code, it's host-controlled. The sandbox blocks everything by default. No external API calls. No CDN images. No Google Fonts. No WebSocket connections. Nothing leaves the iframe unless you e
How to Roll Back a Failed Deployment in 30 Seconds
It is 4:47 PM on a Friday. You merged a pull request, the CI pipeline passed, and the deployment to production completed without errors. But then the Slack messages start: "Is the app down?" "I'm getting a 500 error." "The checkout page is broken." Your heart sinks. Something slipped through testing. Maybe a missing environment variable, a database query that works differently at scale, or a third-party API that changed its response format. The cause does not matter right now. What matters is getting your application back to a working state as fast as humanly possible. With Deploynix, that takes about 30 seconds. How Deploynix Manages Releases To understand why rollback is so fast, you need to understand how Deploynix structures deployments on your server. Deploynix does not deploy by over
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