Category: Google

Eight courses and over 25 hours walk your team through building AI agents with ChatGPT, Claude, and more. The post Train Your Team to Build AI Agents for $20 appeared first on TechRepublic.

San Jose, Costa Rica. EagleSwap, a non-custodial cryptocurrency swap platform, announced that it has reached 10,000 completed swaps. The milestone marks a new stage in the platform’s operations, which allow users to exchange...

I entered the RevenueCat Shipaton with one app in mind. Now, I’m sitting on four. That’s a personality type, not a plan. What I’m Building (And Why) The Shipaton is a build-in-public hackathon run by RevenueCat. The...

When people picture a robot, they picture C-3PO (or if you’re a Trekkie, it’s Lieutenant Commander Data and his brother Lore): a humanoid that walks into any room, understands what you say, picks up anything, and...

Disclosure: I work on Image to Image Generator, the product example used near the end of this article.The hardest part of a multi-model image-to-image interface is not adding another model to a dropdown. It is keeping the...

Kubernetes is dynamic by design. Pods appear and disappear, workloads scale horizontally, nodes become unavailable, and deployments continuously modify the state of the cluster. That dynamism makes observability essential....

Building Reliable Event-Driven Systems with RabbitMQ: Lessons From ProductionBuilding a distributed system is relatively straightforward when everything works as expected. The real engineering challenge begins when services...

My Chromebook Wouldn’t Boot Unless I Physically Removed the SD Card — Here’s the Bug I FoundI recently dual-booted Ubuntu onto an old Chromebook by installing it to an SD card, keeping ChromeOS intact on the internal...

A crashed application is usually easy to recognize. A process stops, an endpoint fails, an alert fires, or users can no longer access the system. The harder production problems are the ones where nothing appears to be broken....

Part 2 of 6: Building a production retrieval layer, one failure at a time. TL;DR: Same 5,000 documents. Same embedding model. Same top-5 retrieval, same prompt, same everything downstream. I changed only the ingestion pipeline —...