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Computational Thinking Is The New Programming

Software's entering its blurred-lines era. The new hybrid model fuses old-school code with natural language prompts and AI-generated logic. Frameworks likeDSPylet devs stitch together pipelines where logic flows through code, prompts, and outside data—like it's all one system. What’s changing:Progr.. read more  

Computational Thinking Is The New Programming
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4 Ways I am Encouraging My 4 Year Old Child to Help Learn Coding and Use Computer

GCompris, CodeMonkey, Microbit, and Raspberry Pi kits aren’t just toys. They’re a full tech ladder for tiny humans. Start with GCompris to get little fingers clicking. Add CodeMonkey for block logic basics. Then toss in Microbit or an Elecrow kit, and suddenly code makes LEDs blink and buzzers buzz... read more  

4 Ways I am Encouraging My 4 Year Old Child to Help Learn Coding and Use Computer
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Man-in-the-Middle Attack Prevention Guide

XM Cyber just dropped a guide on puttingContinuous Threat Exposure Management (CTEM)into practice with their platform. It maps out clear steps to bake exposure management into your 2025 security plans. Trend to watch:CTEM is leveling up—no longer just a buzzword, it's becoming a real security disci.. read more  

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MCP Security Issues Threatening AI Infrastructure

Docker just dropped theMCP ToolkitandMCP Gateway, tightening up the Model Context Protocol with serious armor. We're talking six major server-side holes patched—OAuth RCE, command injection, leaked creds—plugged. How? With container-wrapped isolation, real-time network filters, first-class OAuth ha.. read more  

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Building an AI Home Security System Using .NET, Python, CLIP, Semantic Kernel, Telegram, and Raspberry Pi 4

The post details the process of creating an AI home security system using .NET, Python, Semantic Kernel, a Telegram Bot, Raspberry Pi 4, and Open AI. It covers the hardware and software requirements, as well as the steps to install and test the camera module and the PIR sensor. It also includes code.. read more  

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Forcing LLMs to be evil during training can make them nicer in the long run

Researchers built an automated pipeline to hunt down the neuron patterns behind bad LLM behavior—sycophancy,hallucinations,malice, the usual suspects. Then they trained models to watch for those patterns in real time. Anthropic didn’t just steer modelsaftertraining like most. They baked the correct.. read more  

Forcing LLMs to be evil during training can make them nicer in the long run
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Introducing the Amazon DynamoDB data modeling MCP tool

Amazon just dropped theDynamoDB MCP data modeling tool—a natural language assistant that turns app specs into DynamoDB schemas without the boilerplate. It plugs intoAmazon QandVS Code, tracks access patterns, estimates costs, and throws in real-time design trade-offs... read more  

Introducing the Amazon DynamoDB data modeling MCP tool
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Event-Driven Agents in Action

Docker wired up an event-driven AI agent usingMastraand theDocker MCP Gatewayto handle tutorial PRs—comment, close, the works. It runs a crew of agents powered byQwen3andGemma3, synced through GitHub webhooks and MCP tools, all spun up with Docker Compose. System shift:Agentic frameworks are starti.. read more  

Event-Driven Agents in Action
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Anthropic says OpenAI engineers using Claude Code ahead of GPT-5 launch

Anthropic just shut the door on OpenAI, yanking access to theClaude Code APIafter spotting ChatGPT engineers poking around—likely prepping forGPT-5. Claude Codeisn’t just an internal toy. It’s a serious coding co-pilot, used in the wild by devs who want answers without babysitting a model. Market .. read more  

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GPT-5 is here

GPT-5 tightens reasoning and lands cleaner hits inmath,science,finance, andlaw. It outpaces GPT-4—not just wider, but deeper... read more  

GPT-5 is here
Rust is a systems programming language originally developed at Mozilla and now stewarded by the Rust Foundation. It is designed to enable developers to build fast, reliable, and secure software by preventing entire classes of bugs at compile time. Rust achieves this through its ownership model, which enforces strict rules around memory access, lifetimes, and mutability, eliminating common issues such as null pointer dereferences, use-after-free errors, and data races.

Unlike traditional systems languages such as C and C++, Rust provides strong safety guarantees while maintaining low-level control and predictable performance. Its zero-cost abstractions allow developers to write expressive, high-level code that compiles down to efficient machine instructions. Rust’s type system and concurrency model make it especially well suited for multithreaded and security-critical software.

Rust is widely used across domains including operating systems, browsers, networking infrastructure, cryptography, blockchain, and embedded systems. It has also gained strong adoption in large-scale production environments due to its excellent tooling, package ecosystem (Cargo and crates.io), and emphasis on long-term maintainability. Today, Rust is recognized as a leading language for building safe, high-performance infrastructure software.