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@faun shared a link, 1 week ago

Introducing the Amazon Bedrock AgentCore Code Interpreter

AWS just droppedAgentCore Code Interpreter—a managed box where AI agents can run Python, JavaScript, and TypeScript in isolation. Think of it as a secure playground with autoscaling, controlled file access, and deep hooks into frameworks likeLangChain,LangGraph,Strands, andCrewAI. Big picture: This..

Introducing the Amazon Bedrock AgentCore Code Interpreter
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@faun shared a link, 1 week ago

Using generative AI for building AWS networks

Amazon Q Developer CLI and Bedrock just leveled up. You can now spin up AWS Cloud WANs and VPCs using plain English. Type what you need—get full deployments, phased migrations, and IaC for both CloudFormation and Terraform. Agents handle the whole stack: network discovery, rollout, and config. No m..

Using generative AI for building AWS networks
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@faun shared a link, 1 week ago

AWS AgentCore: The Overlooked Privilege Escalation Path in Bedrock’s AI Tooling

AWS Bedrock AgentCore just got a new trick: agents (and anyone IAM-blessed) can now runCode Interpreters. Think arbitrary code execution—with custom or predefined IAM roles. But here’s the kicker: these interpreters skipresource policies, lean on control plane APIs, and don’t log squat—unlessyou fl..

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@faun shared a link, 1 week ago

Browser-Based LLMs: WebGPU Enables AI in Your Browser

Browser-based LLMs likeBrowser-LLMnow run models likeLlama 2entirely in the browser—no server round-trips, no cloud bill. Just you, WebGPU, and up to7B parametershumming along on your machine. System shift:WebGPU cracks open real AI horsepower in the browser. Local inference gets faster, more priva..

Browser-Based LLMs: WebGPU Enables AI in Your Browser
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@faun shared a link, 1 week ago

Building AIOps with Amazon Q Developer CLI and MCP Server

Amazon Q Developer CLI now hooks into Model Context Protocol (MCP) servers, unlocking AIOps tasks—incident detection, remediation, security fixes—through plain English. Natural language in, real-time control out. It fetches data and talks to your AWS stack via a low-code UI. Tinkerable, scriptable,..

Building AIOps with Amazon Q Developer CLI and MCP Server
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@faun shared a link, 1 week ago

Azure AI Speech Service Configuration

Azure AI Speech now splits config paths forTTS(text-to-speech) andSTT(speech-to-text) when usingmanaged identity—and yes, they're different enough to matter. Roles, env vars, and auth flows don’t line up. Private endpoints? They nuke regional fallbacks, so you’ll need to pass full URLs. A shared ut..

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@faun shared a link, 1 week ago

Typed languages are better suited for vibecoding

Claude’s making typed, compiled languages feel like cheating. Rust, Go, TypeScript—rising fast where Python used to reign. Why? AI coding tools now catch bugs early, validate sprawling diffs, and help devs grok unfamiliar codebases without breaking a sweat. Compiler guarantees + AI pair = fast, safe..

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@faun shared a link, 1 week ago

OpenAI prepares to launch GPT-5, but big leaps are unlikely

Internal testing showsGPT-5edges ahead of GPT-4—better code, cleaner math, sharper step-by-step thinking. But no breakthrough. No leap. OpenAI even scrapped “Orion,” the original GPT-5 push, and settled on GPT-4.5 instead. Translation: scaling Transformers is hitting a wall. System pivot:OpenAI’s n..

OpenAI prepares to launch GPT-5, but big leaps are unlikely
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@faun shared a link, 1 week ago

6 Weeks of Claude Code

Puzzmo just nuked years of tech debt in six weeks thanks toClaude Code, Anthropic’s AI-powered dev sidekick. With a clean monorepo, tight tooling (React, GraphQL, Relay), and some well-aimed prompts, one engineer knocked out core migrations, unified the UI, and abstracted the CMS—all without derail..

6 Weeks of Claude Code
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@faun shared a link, 1 week ago

Code Execution Through Deception: Gemini AI CLI Hijack

Tracebit discovered a silent attack on Gemini CLI due to improper validation, prompt injection, and misleading UX leading to execution of malicious commands without user awareness. Google fixed this in v0.1.14...

Integrate Real-Time Video Calling Seamlessly with MirrorFly’s Scalable API

Empower your application with real-time face-to-face communication using MirrorFly’s Video Calling API. This robust and secure solution is designed for modern web and mobile apps, making it ideal for telehealth services, online learning platforms, social apps, and business collaboration tools.

MirrorFly’s API allows you to deliver high-quality one-on-one and group video calls with minimal latency. The infrastructure is built to scale effortlessly, handling millions of users without compromising performance. It includes adaptive video quality, call recording, cross-platform support, and end-to-end encryption to ensure privacy and clarity in every call.

Key highlights:

Real-time low-latency video communication

Scalable infrastructure for large user bases

Fully customizable UI to align with your brand

Enterprise-grade security with encryption

Developer-friendly with comprehensive documentation and 24/7 support

MirrorFly lets you build immersive and secure in-app video experiences faster, helping you stay ahead in a communication-first digital world.