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Building Reproducible ML Systems with Apache Iceberg and SparkSQL

Apache Iceberg +SparkSQLbringsACID transactions,schema evolution, andtime travelto data lakes. That means ML pipelines finally get reproducibility and consistency without the hacks. Iceberg’s snapshot-based guts track every version, handle parallel writes without stepping on toes, and keep training ..

Building Reproducible ML Systems with Apache Iceberg and SparkSQL
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How to Build an Agent

A new framework lays out six sharp steps for building agents that actually ship. It kicks off with a grounded task, locks in SOPs, then tunes high-leverage prompts. The real choke point? LLM reasoning. Everything else—architecture, data flow, testing—is scoped to chase tight, measurable gains there...

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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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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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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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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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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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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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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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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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We are a young, talented and internationally recognized tech company with the mission to empower better software development for everyone, everywhere. Our platform is made by developers, for developers, paying attention to the positive impact of our work.

What we do 🚀☁️

We brought to the market the first solution for the end-to-end creation of cloud-native digital platforms. Thanks to the technological excellence of its software suite, Mia-Platform allows companies to holistically face their digital transformation journey and become Platform Companies.

Our platform is a Developer Hub to manage the end-to-end life cycle of cloud-native applications and simplify the life of Dev and Ops. We also provide a marketplace full of plug-n-play components to accelerate the construction of your own digital platform.

We also have a solution called FastData, which allows companies to decouple data and create a single view of data available 24/7.