Recently, I wrote a post about an educational app I'd developed using AI tools, and the design decisions I made along the way. When I showed the prototype of my activity-based learning app to a few ed ...
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Most AI agents are great at quick tasks. Send a message, the agent calls a few tools, and you get a response back in seconds. That works perfectly when you're asking it to summarize a document or do s ...
Tutorials teach you how to write Terraform, but don't teach you what happens when 60 engineers start writing it together. When you learn Terraform, you work with a single repository, state file, and a ...
Typically, when we start experimenting with AI, many of us begin similarly. We try a single LLM call as the core of an app, like this: const response=await llm.chat("Explain Kubernetes"); For a lit ...
The first time I saw "Looking up a deactivated widget's ancestor is unsafe" in a stack trace, I genuinely didn't know what it meant. I copied the error into Google, found three different Stack Overflo ...
You take off your shoes before bed. You probably don't take off your smart ring or your watch. Most of us sleep with a Bluetooth-enabled device sitting a few millimeters from our skin, all night, ever ...
Imagine being able to pull any external data into Notion, seamlessly push updates to your other favorite apps, and automate complex business logic, and do this all without paying for third-party no-co ...
Many AI Agent tutorials propose the same fix for bad output: reflection. Your agent generates garbage JSON? Just add another LLM call to "review" it. The second call critiques the first, the first tri ...
When you hear "Scalable Design System with a Monorepo Ecosystem" it might sound like a bunch of jargon glued together. Let's simplify: Design system: the building blocks of your product (buttons, inp ...
Performance tools are good at showing you what's slow. They can tell you that your Largest Contentful Paint is 4.2 seconds, your JavaScript bundle is too large, or an image below the fold is loading t ...