This article discusses the evolution of an agent system that separates prompt logic from the agent’s core function. By utilizing a Model Context Protocol (MCP) server, prompts can be modified independently of the agent’s deployment, allowing for multiple personas and version control. This architecture enhances flexibility, observability, and maintainability.
lt all started with a simple conversational AI agent When I first decided to build a conversational agent, I wasn’t
Hashing Function and Message Digests What is a Hash Function? Mathematically, a Hash Function is a deterministic algorithm that maps
1. Video is eating the internet Over the past decade, video has become the dominant language of the internet. Did you
In an era where AI is permeating everywhere, you’ve certainly used some AI to serve your work and daily life,
Smartphones are now an essential part of our daily lives. We use them for work, entertainment, and staying in touch
Did you know that Vue.js performance optimization is critical for user retention? Users hate waiting. In fact, a sluggish application not only
If you have worked with Vue 2, you are likely familiar with Mixins. While they allowed us to reuse code, they often led
In our previous blog series Akka Agentic AI: Secret to Planning a Perfect Trip, we built our first fully autonomous
The article discusses the integration of Agentic AI with serverless computing, emphasizing the benefits of using Node.js on Azure Functions for building scalable AI applications. It highlights features such as elastic scalability, event-driven responsiveness, and operational efficiency, while pointing out best practices and potential challenges in the deployment of Serverless Agentic AI solutions.
AI ecosystem packages are crucial for developing multi-agent systems by providing reusable modules, frameworks, and tools that enhance scalability, interoperability, and efficiency. Key components include machine learning libraries, data management tools, and orchestration modules. As AI evolves, open-source collaboration and integration with cloud technologies will shape future frameworks, enabling autonomous intelligent ecosystems.
The rise of real-time agentic AI with Node.js is reshaping how applications interact with users. Unlike traditional AI models, which
