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#generative-ai

9 posts · 5 companies · newest first

2

Announcing AWS Well-Architected Agent, an AI-powered intelligence to optimize your cloud environment (preview) (opens on the source site)

Introducing the public preview of AWS Well-Architected Agent, an AI-powered service that analyzes your AWS environment to deliver targeted, contextual recommendations for improving your applications' cost, security, performance, and resilience—with ready-to-implement fixes aligned to your business goals.

artificial-intelligenceaws-supportexcerpt only · body stays at the source
From the web
4

Migrating the GitHub Copilot runtime to Rust, using Copilot (opens on the source site)

A rewrite this size wasn't affordable before agents. Here's what porting the Copilot agent runtime to 800,000 lines of production Rust actually took. The post Migrating the GitHub Copilot runtime to Rust, using Copilot appeared first on The GitHub Blog.

ai---mlgenerative-aiexcerpt only · body stays at the source 238 comments on HN (opens the discussion)
From the web
5

Routing and Failover for Microsoft.Extensions.AI (opens on the source site)

Route requests across models and providers natively in Microsoft.Extensions.AI with RoutingChatClient, SemanticRoutingChatClient, and FailoverChatClient — new experimental primitives for content-based routing, failover, and custom routing policies. The post Routing and Failover for Microsoft.Extensions.AI appeared first on .NET Blog.

.netaiexcerpt only · body stays at the source
From the web
7

Agent platform (Part 1): How we help Grab build and run AI agents at scale (opens on the source site)

Part 1: From one support bot to a framework At Grab, AI agents have evolved from interesting team prototypes into production services used every day by millions of merchants, drivers, and consumers. Today, more than 500 services run on our internal agent framework, over 50 Model Context Protocol (MCP) servers are registered on our remote MCP framework, and a single Large Language Model (LLM) gateway fronts every model call across the company, handling billions of tokens each month. None of this was designed up front. It began as the plumbing behind one internal support bot, which then…

engineeringgenerative-aiexcerpt only · body stays at the source
From the web
9

Yes, You Can Use AI in Our Interviews. In fact, we insist (opens on the source site)

The nature of software engineering is changing rapidly. At Canva, we believe our hiring process should evolve alongside the tools and practices our engineers use every day. That's why we're excited to share that we now expect Backend, Machine Learning and Frontend engineering candidates to use AI tools like Copilot, Cursor, and Claude during our technical interviews. The Reality of Modern Engineering At Canva, almost half of our frontend and backend engineers are daily active users of an AI assisted coding tool. Our engineers leverage AI to prototype ideas, understand our large codebase and…

interviewsgenerative-aiexcerpt only · body stays at the source
From the web
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