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- The New Stack Read
GitHub’s advice for its new Copilot feature is to try something else first
GitHub Copilot can now click and type in desktop apps with no API or MCP server. Here’s how approvals, enterprise controls and reliability limits work.
- The New Stack Read
What Kubernetes’ “monolith” lesson means for AI agent harnesses
In this edition of our Road to KubeCon series, Craig McLuckie wants agent harnesses off the laptop, and Koordinator pushes GPU allocation past 95%.
- The Cloudflare Blog Read
Streamline: custom video pipelines with Cloudflare Stream and Workers
Streamline demonstrates how to build long-running, continuous video processing pipelines by pairing Cloudflare Workers and Durable Objects with a containerized media engine.
Sweep thousands of leases for compliance using Amazon Quick and the Adjudicated Query pattern
The Adjudicated Query pattern pairs the Amazon Quick chat agent with a bounded MCP server over a deterministic rules engine to deliver provably complete, defensible compliance answers. This post walks through the reference architecture and a deployable AWS CDK sample, using lease compliance as the running example.
Add secure Web Search to Claude Desktop with Amazon Bedrock AgentCore
Claude Desktop on Amazon Bedrock is limited to the model's knowledge cutoff without web search. In this post, we walk through connecting Claude Desktop to Web Search using Amazon Bedrock AgentCore Gateway, with JWT-based inbound authentication through AWS IAM Identity Center and Amazon Cognito.
Fine-tune a search agent with multi-turn RL on Amazon SageMaker AI
Fine-tuning teaches a small search agent your tools and environment, giving it the reliability of a frontier model at lower latency and cost. In this post, we fine-tune an LLM-powered search agent with multi-turn reinforcement learning (MTRL) on Amazon SageMaker AI and share the gains we measured in retrieval quality and reliability.
- The New Stack Read
“No reason why everyone should have an identical Claude experience”: Anthropic’s mods let you change Claude Code’s look and behavior
Claude Code users can now ask it to redesign itself. Mods can rewrite prompts, block tool calls, and redraw the interface, all from a plugin.
- The Cloudflare Blog Read
Introducing Web Search API via AI Gateway
Cloudflare AI Gateway now supports native web search API integration in partnership with Ceramic.ai, Exa, and Linkup. Developers can now inject real-time web context into model inference calls via AI Gateway, REST APIs, or Workers bindings.
- The Cloudflare Blog Read
Introducing Cloudflare Traces: follow requests through our entire platform
Cloudflare Traces shows how a request moves through security rules, transformations, cache, routing, Workers, and your origin, then follows it across services running anywhere in your stack.
- The Cloudflare Blog Read
8 major updates to Cloudflare Observability
Cloudflare is launching eight major updates that bring logs, traces, analytics, alerts, dashboards, querying, and telemetry export into one observability platform, with simpler and more predictable pricing.
- The New Stack Read
K3s vs. K8s: When lightweight Kubernetes distros win (and when they don’t)
Compare K3s vs. K8s to find the best Kubernetes distro for your needs. Explore resource footprints, edge use cases, and key trade-offs.
I struggled with “API design” until I learned these 33 concepts
#184: Part 1 - REST, GraphQL, Authentication, and 14 others.
- The New Stack Read
OpenAI’s always-on agents are free, until one specific thing happens
OpenAI’s always-on Dots agents run without touching usage limits for now, but any task a Dot hands off to Codex or ChatGPT Work still draws from your plan.
- The New Stack Read
Cloudflare brings paid access to MCP tools — who controls the agent’s spending?
Cloudflare’s Monetization Gateway lets sellers charge AI agents for MCP tools and APIs. Here’s what developers need to control before agents start paying.
- The New Stack Read
“No human wants to look at billions of traces”: Dynatrace bought Arize because agents need a new kind of observability
The $915M acquisition is now complete. Dynatrace and Arize explain why AI agents could soon be the ones reading the telemetry.
Announcing AWS Well-Architected Agent, an AI-powered intelligence to optimize your cloud environment (preview)
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.
Serve live, governed data in AI-built apps with Amazon Quick
With Live Data in Apps in Amazon Quick, AI-built apps query your governed Quick Sight datasets in real time instead of static, build-time snapshots. Each query runs as the person viewing the app, so row-level and column-level security apply per reader. Learn how to build, publish, and share a live-data app using natural language.
Build agent memory with NVIDIA NeMo Agent Toolkit and Amazon S3 Vectors
Learn how to use Amazon S3 Vectors as the persistent memory layer within the NVIDIA NeMo Agent Toolkit (NAT), deployed on Amazon Elastic Kubernetes Service (Amazon EKS). This post shows how NAT's memory subsystem works and how to implement Amazon S3 Vectors as a custom memory provider, using a multi-agent investment research use case.
- The New Stack Read
Bit Cloud’s next chapter starts after the AI builds your app
For many developers, building an application from an AI prompt is already part of the workday. Turning that first version into something a team can use, maintain, and build upon takes more: a place to run it, a way to review changes, and confidence that the next update will work as intended. That’s the opportunity behind Bit Cloud 2.0 and Hope, the company’s built-in AI builder. In this episode
Uplifting conversion across the acquisition funnel with personalization using contextual bandits on AWS
Generative AI makes it cheap to produce personalized content at scale, but which variation do you show each customer? Amazon Payments used a multi-objective contextual bandit on Amazon SageMaker AI to personalize an acquisition funnel, achieving a high single-digit conversion lift for one audience, and learning why content, not the model, was the constraint.
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