All posts by Alpesh Kumar
TurboVec: What This Rust Vector Index Is and How to Evaluate It
TurboVec is a Rust-based vector index with Python bindings built on TurboQuant. This article explains what the project claims to be, where vector compression fits, and what developers should verify before adopting it.
Multi-Agent Systems: Your Guided Learning Path
A beginner-friendly roadmap to understanding multi-agent systems, from the essential concepts to coordination, guardrails, and deciding whether to build one.
Clean Architecture: Where SOLID, DDD and Event-Driven Systems Fit
Clean Architecture is not a framework or a checklist. This practical guide shows how SOLID, domain-driven design and events can work together—without turning a straightforward application into an over-engineered maze.
Context Engineering for AI Agents: Memory, Retrieval, and Token Budgets
A practical framework for developers building AI agents that need the right context at the right time—without drowning the model in stale history, irrelevant documents, or runaway token costs.
Hermes Agent Review: Is a Self-Hosted AI Agent Worth Running?
Hermes Agent is an open-source, self-hosted AI agent for persistent conversations, tools, skills, memory and scheduled tasks. Learn where it helps, what risks to manage and how to test it safely.
From Keystroke to Interactive REPL: An Architecture Deep Dive into Claude Code’s Boot Sequence
When you type claude into your terminal, there is a highly sophisticated Claude Code boot sequence that springs into action before you even see the first prompt. By understanding this pipeline, developers can better reason about startup latency, debug initial launch behaviors, and appreciate the careful parallelism engineered to keep time-to-interactive incredibly low. (Looking to explore more AI tools? …
Meet LangGraph Swarm Agents: A Collaborative AI Ecosystem
Imagine building powerful multi-agent systems with LangGraph Swarm, where agents collaborate autonomously for seamless AI workflows. That’s LangGraph Swarm: a lightweight, decentralized multi-agent system where agents dynamically hand off tasks and the system retains memory of the last active agent for seamless conversation flow Unlike rigid supervisor architectures where a central agent dictates the flow,…
Building Autonomous AI Agents: A Practical Guide for Engineers
As AI moves beyond simple chatbots, building AI agents that can reason and act autonomously has become a key engineering challenge. This guide explores how to develop production-ready agents using practical, real-world techniques from OpenAI. AI agents represent a transformative leap in automation, transitioning from reactive chatbots to intelligent systems that can independently execute complex,…
Understanding the Agentic AI Stack: A Modern Blueprint for Building Intelligent Agents
The Agentic AI Stack is a modern framework designed to build intelligent agents in artificial intelligence applications. These agents are not just static tools, they observe, reason, act, and improve over time. To build such dynamic systems, we need a well-structured framework. That is where the Agentic AI Stack comes in. Layer 1: Tool /…