Tags→#backend
The layers of an AI agent product
Model SDK, agent framework, harness, execution runtime, and product: what each layer of an AI agent product does, with real examples of what's under the hood.
The silent promise that will kill your Node.js server
How a single unawaited Promise can crash your Node.js server, and the fix that prevents it.
Understanding the Agentic Commerce Protocol: your guide to selling on ChatGPT
Learn how to integrate your e-commerce store with ChatGPT's Instant Checkout using the Agentic Commerce Protocol. TL;DR guide for developers.
Go with SSE for your AI chat app
Comparing SSE and WebSockets for AI chat applications, and why SSE is the better choice for most use cases.
Understanding tasks and threads in rust: a practical guide
The main difference between tasks and threads in Rust is their level of abstraction. Tasks are an API provided by libraries like Tokio...
Outsourcing all the filtering, ordering, etc. to the back-end
I’m the strong believer that front-end is for the user only, and that it should do the minimum...