If you’re working with Kubernetes, Keda and all sort of agentic AI workflows, this could be your read.✌️
You’ll learn to build durable autoscaling agent runtime.
Long-running AI agents need to be able to handle crashes and scale to fit workflows.
In this guide, @shricodev shows you how to build a durable, autoscaling agent runtime.
You'll use Temporal for retries and recovery, Composio for tool use, Docker and Kubernetes for deployment, and KEDA to scale workers based on workload.
https://t.co/c69RgxDoHt
Sometimes you might want to run AI models locally without bloating your computer or taking up too much space.
And you can do this using Azure + Docker to set up a virtual machine that runs the models inside a container.
Here, @shricodev walks you through the process step by step.
https://t.co/0QbJ580WJE
Congrats to our top 7 authors!
This week: building a LAN speaker, digging into what is causing the latest Big Tech layoffs (it's certainly not financial troubles), and much more.
Great job @shricodev, @ahmershah29, @tibtof, @minirobbo, and the rest.
https://t.co/M433bpXZII
Nvim 0.13 gained vim.ui.img, a stdlib interface for displaying images.
- useful for markdown files, directory browse, picker preview, ...
- ~small interface + impl cost. mostly a protocol change.
- placement will be handled by extmarks or floating windows.
- no builtin codec, not going to vendor a jpeg library.
Codex Computer Use is the most amazing technological capability I've ever personally witnessed.
When AI can do anything you can do on your computer...
24/7
No sleep
The question becomes:
> What's worth it to do on a computer?
Introducing Claude Opus 4.7, our most capable Opus model yet.
It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back.
You can hand off your hardest work with less supervision.