Ideas y movimientos que importan a quienes diseñan, construyen y operan software. Una selección breve para mantener el pulso del oficio.
Categoría
/fleet lets Copilot CLI dispatch multiple agents in parallel. Learn how to write prompts that split work across files, declare dependencies, and avoid common pitfalls. The post Run multiple agents at once with /fleet in Copilot CLI…
Pinterest engineering teams have deployed a production-ready Model Context Protocol (MCP) ecosystem that allows AI agents to automate complex engineering tasks and integrate diverse internal tools. Domain-specific MCP servers, a central…
Cloudflare has released Dynamic Worker Loader into open beta, offering V8 isolate-based sandboxing for AI-generated code execution. The company claims isolates start in milliseconds, using megabytes of memory, making them roughly 100x…
Paul Duvall recently discussed his library of engineering patterns for AI assisted development and practices that ground high quality delivery. Related discussions from Paul Stack and Gergely Orosz highlight a shift toward remixing and…
Meta continues to lead the industry in utilizing groundbreaking AI Recommendation Systems (RecSys) to deliver better experiences for people, and better results for advertisers. To reach the next frontier of performance, we are scaling…
I used coding agents to build agents that automated part of my job. Here's what I learned about working better with coding agents. The post Agent-driven development in Copilot Applied Science appeared first on The GitHub Blog.
Last week, what excited me most was the launch of the 2026 AWS AI & ML Scholars program by Swami Sivasubramanian, VP of AWS Agentic AI, to provide free AI education to up to 100,000 learners worldwide. The program has two phases: a…
We are opening our advanced Client-Side Security tools to all users, featuring a new cascading AI detection system. By combining graph neural networks and LLMs, we've reduced false positives by up to 200x while catching sophisticated…
For most of 2025, AI coding agents got good at a specific thing: writing code. Give an agent a prompt, and it could scaffold an app, wire up an API, write migrations. But when the code was done, the agent stopped. Spinning up a real…