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Vera Rubin: NVIDIA’s Blueprint for the Agentic AI Era

2026-09-03T14:45:05+00:00

If AI keeps getting smarter, can the infrastructure behind it keep up? Artificial intelligence is rapidly moving beyond simply generating answers. Modern AI systems are becoming capable of reasoning through problems, using external tools, retrieving information, executing tasks, and deciding what to do next. This is the idea behind Agentic AI, where AI can work through multiple steps to achieve a goal rather than simply responding to a single prompt. This evolution is also making AI workloads more complex and demanding. An AI agent may need to perform several rounds of inference, access memory, retrieve data, call APIs, execute code, [...]

Vera Rubin: NVIDIA’s Blueprint for the Agentic AI Era2026-09-03T14:45:05+00:00

Multi-Agent AI Isn’t What You Think: Here’s What’s Really Happening Under the Hood

2026-09-03T04:25:45+00:00

Multi-Agent AI Isn’t What You Think: Here’s What’s Really Happening Under the Hood What if I told you that a “team of AI agents” can sometimes be the same language model being called multiple times with different instructions? No digital employees sitting inside a virtual office. No group of AIs secretly gathering around a table to discuss your request. Behind the scenes, many multi-agent systems are built from something much more familiar: LLMs, tools, shared data, and software that decides who does what next. Once you understand that architecture, multi-agent AI becomes much less mysterious. So, What Is an AI [...]

Multi-Agent AI Isn’t What You Think: Here’s What’s Really Happening Under the Hood2026-09-03T04:25:45+00:00

Ship React Native Apps Faster With Addy Osmani’s Agent Skills

2026-09-03T18:06:12+00:00

Ship React Native Apps Faster With Addy Osmani’s Agent Skills A practical Claude Code workflow that combines a disciplined delivery lifecycle, React Native expertise, project rules, and real-device proof—without making developers manage skills by hand. Vibe coding feels fast until the app stops compiling, a “finished” screen breaks on Android, or a feature drifts away from the original idea. The bottleneck is rarely code generation. It is the missing development loop around the code. Addy Osmani’s Agent Skills provide that loop: define, plan, build, test, review, and ship. It is not a React Native framework, and it should not try [...]

Ship React Native Apps Faster With Addy Osmani’s Agent Skills2026-09-03T18:06:12+00:00

Cursor Automations, MCP, and API Integrations: How AI-Powered Workflows Are Reshaping Modern Development

2026-08-27T12:26:32+00:00

In late 2025, most developers were still using AI coding assistants as glorified autocomplete engines: press Tab, accept a suggestion, and move on. By mid-2026, the same tools are reviewing pull requests, triaging incidents from PagerDuty alerts, posting summaries to Slack, and assigning reviewers based on time zones, all without a human touching the keyboard. At the center of this transformation is Cursor, an AI-native IDE that has evolved far beyond a VS Code fork with an LLM bolted on. With the introduction of Cursor Automations, Background Agents, BugBot Autofix, and deep support for the Model Context Protocol (MCP), Cursor [...]

Cursor Automations, MCP, and API Integrations: How AI-Powered Workflows Are Reshaping Modern Development2026-08-27T12:26:32+00:00

The Modern Developer: AI, Cloud, and What Comes Next

2026-08-27T12:54:24+00:00

For the longest time, the standard advice for entering the technology industry was simple: learn to code. But as AI in software development becomes more common, knowing how to write code is no longer the whole story. At first it's like this: learn Python, JavaScript, Java, or another programming language. Practice writing programs. Build projects. Learn how to debug your mistakes. Eventually, those skills could become the foundation of a career in software development. Yet, technology has expanded far beyond the act of writing code. Developers today work in an environment shaped by cloud computing, automation, and other countless technologies. [...]

The Modern Developer: AI, Cloud, and What Comes Next2026-08-27T12:54:24+00:00

Building Production AI Agents on AWS: AgentCore Harness, Strands 1.0, and the Multi-Agent Architecture that Actually Ships

2026-08-06T16:10:24+00:00

Six months ago, "AI agents on AWS" meant duct-taping together Amazon Bedrock, a Lambda function to handle tool routing, DynamoDB for session state, CloudWatch for tracing, and a LangGraph loop you prayed would recover from a network hiccup mid-reasoning. Every team was reinventing the same infrastructure. Every demo worked; most productions did not. That changed on June 17, 2026, at AWS Summit New York, where Dr. Swami Sivasubramanian (VP of Agentic AI) announced what AWS is calling the agentic infrastructure layer: Amazon Bedrock AgentCore Harness reaching general availability, the Strands Agents 1.0 SDK going production-grade with native multi-agent primitives, and [...]

Building Production AI Agents on AWS: AgentCore Harness, Strands 1.0, and the Multi-Agent Architecture that Actually Ships2026-08-06T16:10:24+00:00

Claude Skills Unlocked: A Practical Guide to Anthropic Academy’s 21 Free Courses

2026-07-31T10:22:44+00:00

Anthropic Academy has grown into one of the more substantial free AI learning resources available today, with 21 self paced courses covering everything from everyday Claude usage to building agents with the Model Context Protocol. Every course is free, requires only an email sign up, and is built directly by the team behind Claude rather than a third party reinterpreting the documentation. The challenge most learners run into is not access, since the catalog is open to anyone, but direction, since 21 course titles do not automatically translate into a plan. This guide breaks the catalog into four practical tracks [...]

Claude Skills Unlocked: A Practical Guide to Anthropic Academy’s 21 Free Courses2026-07-31T10:22:44+00:00

Automating Publications with Claude, Canva, and n8n

2026-08-19T08:15:15+00:00

Every business that runs a social media page knows the same repetitive cycle. Pick a topic. Write a caption. Design a graphic. Post it on schedule. Repeat tomorrow. Multiply that by every campaign, every seasonal push, every recurring content series, and it becomes a real operational cost, not just a marketing task. That repetitive cycle is exactly what a project called Automating Publications was built to solve. It is a working, experimental content pipeline built with Claude, Canva, Slack, Google Drive, and n8n, and it is a useful reference for any business or enterprise team thinking about applying AI to [...]

Automating Publications with Claude, Canva, and n8n2026-08-19T08:15:15+00:00

AI Ethics Explained: How to Use Artificial Intelligence Responsibly

2026-07-25T14:10:52+00:00

Have you ever used ChatGPT to help explain a difficult topic? Maybe you've asked Gemini to summarize a lengthy article, generate ideas for a school project, write an email, or even use Claude for brainstorming concepts. If you're a student, you've probably wondered: "Is it okay to use AI for assignments?" If you're a content creator, perhaps you've asked yourself at least once: "Who actually owns AI-generated content?" Or maybe you've come across AI-generated images and videos on social media posts and thought: "How can I tell if this is real or AI?" These questions have become increasingly common because [...]

AI Ethics Explained: How to Use Artificial Intelligence Responsibly2026-07-25T14:10:52+00:00

Fine-tuning an LLM for natural Tagalog speech

2026-07-16T10:40:33+00:00

If you're an ML engineer or a technical lead planning to pre-train a large language model (LLM) for Tagalog or Taglish, how do you start? In this article, we walk through the process of defining a target voice, building a data pipeline, running a QLoRA training experiment, and evaluating results with native speakers, so a team can test the idea with a small, well-scoped proof of concept before committing to a larger build.  Why natural Tagalog is harder than correct Tagalog for LLM A general-purpose LLM may produce Tagalog that is grammatically acceptable yet still sound overly formal, translated, or [...]

Fine-tuning an LLM for natural Tagalog speech2026-07-16T10:40:33+00:00

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