Articles by Tag #agenticai
Browse our collection of articles on various topics related to IT technologies. Dive in and explore something new!
Introducing the dev.to MCP server
If you've been wondering how to get your AI tools talking to dev.to's content without building yet...
A short talk at AWS cloud club event "Cloud Nexus" made me rethink how students are using AI
I recently spoke at CloudNexus, an AWS Cloud Club QAU event focused on cloud technologies and AI. It...
Rethinking Authorization in the Age of AI Agents
We’re entering the age of agentic AI — where software agents, not just users, are taking action on...
Give Your AI Agents Deep Understanding — Creating a Multi-Agent ADK Solution: Design Phase
Welcome! Hello and welcome to Part 2 of this miniseries. In the first part I...
Building Real Agentic AI in PHP with Neuron AI, Gemini, and Tools
Build a real tool-using AI agent that understands YouTube videos and answers questions. In...
Why AI Agents Need Context Graphs (And How to Build One with AWS)
Back in 2020, I wrote that dashboards tell you what's happening, but not why. That the rush to be...
How I built my AWS AI assistant: Integrating Amazon Bedrock Agents with Slack
Ever felt like Dr. Frankenstein, creating a digital assistant that follows your every command? That's...
Get Schwifty with the FastAPI: Adding a REST API to our Agentic Application (with Google ADK)
Introduction Welcome back to the Rickbot Series! In this part we’re going to look at how...
Meet Bumblebee: Agentic AI Flagging Risky Merchants in Under 90 Seconds
contributors: @parin-k, @sumit12dec @yashshree_shinde If you're familiar with a payments company,...
MCP & Cost Optimization | AWS Summit Bangalore 2025
The AWS Summit Bangalore, which I got the chance to attend on May 8, 2025, was an amazing learning...
Agentic AI: How LLMs Really Work Behind the Scenes
Ever wondered what really happens when you upload a PDF (or any file) into ChatGPT? At first glance,...
Clone Your CTO: The Architecture of an 'AI Twin' (DSPy + Unsloth)
The creation of a digital "Twin"—an AI model that mimics both the unique persona and the...
🤖 Agents: From LLMs to Systems That _Act_
Most people think of LLMs as “smart chatbots. Agents are different. Agents combine language models...
Understanding AI Agents: Compilers of Human Intent
The more I read about AI agents, the more a pattern starts to emerge. Different papers, frameworks,...
Simple proportional allocation based on observed demands
I still remember the moment it clicked for me. I was running a simulation of 50 AI agents competing for limited computational resources in a distributed edge environment. The system was chaotic at fir...
From Prototype to Runtime: Operationalizing AI Agents on Amazon Bedrock AgentCore
As organizations experiment with agentic AI, many teams quickly realize that building an intelligent...
Emergent Coordination in Heterogeneous Multi-Agent Systems Through Differentiable Communication
I still remember the moment it clicked for me. I was working on a multi-agent reinforcement learning project where different AI agents needed to coordinate in a complex warehouse environment. Some age...
Quantum-Resistant Federated Learning with Lattice-Based Homomorphic Encryption for Edge AI Systems
It was during a late-night research session that I first encountered the vulnerability that would shape my next two years of exploration. I was working on deploying a federated learning system for med...
Quantum-Resistant Federated Learning with Lattice-Based Homomorphic Encryption for Medical Imaging
It was during a late-night research session at the Stanford Medical AI lab that I first encountered the paradox that would consume my next six months of investigation. We were training a deep learning...
Why I am Writing "11 Controls for Zero Trust architecture in multi-agent AI-to-AI Systems"
Most security models were never designed for autonomous systems talking to each other. They assume a...
Quantum-Resistant Federated Learning: Securing Distributed Model Training Against Future Cryptanalytic Attacks
It was during a late-night research session that I first truly grasped the magnitude of the quantum threat to our current cryptographic infrastructure. I was experimenting with federated learning syst...
Emergent Communication Protocols in Multi-Agent Reinforcement Learning Systems
I still remember the moment it happened. I was running a multi-agent reinforcement learning experiment late one night, observing a group of AI agents learning to cooperate in a simple resource-gatheri...
Process each modality in parallel
I'll never forget the moment when my multi-modal agentic system did something completely unexpected. It was 3 AM, and I was monitoring a complex simulation involving multiple AI agents processing visu...
Quantum-Resistant Federated Learning: Implementing Post-Quantum Cryptography in Cross-Silo Model Aggregation
It was during a late-night research session that I first encountered the quantum threat to our current cryptographic infrastructure. I was working on a federated learning system for healthcare institu...
Each agent contributes based on their expertise
I remember the moment vividly. It was 3 AM, and I was monitoring a multi-agent reinforcement learning system I'd been developing for automated software testing. The agents were supposed to follow pred...
Quantum-Resistant Federated Learning with Homomorphic Encryption for Medical Imaging Diagnostics
It was during a late-night research session, poring over medical imaging datasets while simultaneously studying quantum computing vulnerabilities, that I had my breakthrough moment. I was working with...
Each agent gets a partial view of the state
I still remember the moment it happened. I was running a multi-agent reinforcement learning experiment late one evening, monitoring a group of AI agents trying to solve a complex coordination problem....
Emergent Coordination in Heterogeneous Multi-Agent Systems Through Differentiable Communication
I still remember the moment it clicked for me. I was debugging a multi-agent reinforcement learning system where three different types of AI agents—each with distinct capabilities and objectives—were ...
Generative Simulation Benchmarking for satellite anomaly response operations for extreme data sparsity scenarios
I still remember the moment that changed my perspective on satellite operations forever. It was 3 AM in the lab, and I was analyzing telemetry data from a low-Earth orbit satellite that had experience...
Edge-to-Cloud Swarm Coordination for heritage language revitalization programs with embodied agent feedback loops
While exploring the intersection of quantum-inspired algorithms and natural language processing, I stumbled upon a problem that would consume my research for months. I was experimenting with variation...