AI-DLC: The Next Evolution of Software Delivery (A Hands-On Guide)

Software development has always been a game of managing dependencies: waiting on requirements, waiting on reviews, waiting on deployments. Teams have optimized this process for decades, but the fundamental bottleneck remained: humans waiting on other humans. AI changed the conversation. But not in the way most expected. The Problem with How We Use AI Today […]

The AI Factory Era: My Key Takeaways from NVIDIA GTC 2026

I recently had the incredible opportunity to attend NVIDIA GTC 2026 in San Jose. As a first-time attendee, I was struck by the unmatched energy, marking a clear shift in the industry: the “Science Project” era of AI is over, and we have officially entered the era of the AI Factory. Standing with my new math data backpack […]

Agentic AI: Productivity Tool or Skill Decay Machine?

With the rapid advancement of generative AI and agentic development tools, a serious question is emerging: What happens to a generation of engineers who rely entirely on Agentic AI without truly learning the fundamentals? Across engineering teams, learning is increasingly outsourced to AI tools. Many developers are becoming less concerned with understanding core principles, trade-offs, […]

Claude Code Setup and Agents Swarm in Action

Hello everyone! Today we’re diving into Claude Code — the new buzzword everyone is talking about. In this article, I’ll walk through the setup step by step and experiment with the new Agents Swarm feature to see whether it really lives up to the hype. First, What is Claude Code? Claude Code is an AI-powered command-line […]

Part 3: Building Production-Ready AI Agents with Amazon Bedrock AgentCore (Runtime)

Part 3: Runtime & Frontend Introduction In Part 1 and Part 2, I built the infrastructure, deployed Lambda tools via Gateway, and configured Memory for persistent context. In this final article, I complete the journey by deploying the AgentCore Runtime and building a Streamlit frontendwith secure authentication. This final article covers: Implementing the agent with […]

Part 2: Building Production-Ready AI Agents with Amazon Bedrock AgentCore (Gateway & Memory)

Part 2: AgentCore Gateway & Memory Introduction In Part 1, I established the foundation with Terraform infrastructure and Cognito authentication. In this article, I add the intelligence layer: AgentCore Gateway for serverless tools and AgentCore Memory for persistent context. This article covers: Creating Lambda-based tools accessible via MCP protocol Deploying the AgentCore Gateway Setting up […]

Part 1: Building Production-Ready AI Agents with Amazon Bedrock AgentCore (Architecture & Auth)

Part 1: Foundation, Architecture & Authentication Introduction Building a production-ready AI agent chatbot requires more than just connecting to an LLM. You need secure authentication, scalable infrastructure, persistent memory, and seamless tool integration. In this three-part series, I walk through implementing a complete Amazon Bedrock AgentCore solution for a business assistant chatbot. I’ll try to elaborate on […]

Compressed External Latent State (CELS)

tl;dr: We find that by emulating a language model’s internal latent space, represented as a graph, we achieve 99% fewer tokens while retaining the level of semantic meaning. What Latent Space Actually Is Latent space is the hidden geometry where modern language models actually think. Inside every transformer layer, the model continuously compresses meaning into […]

How to Protect Your Agent from AI Cyber Espionage with Guardrails

If you’re building AI agents right now, the Anthropic GTG-1002 story should be stuck in your head. Last week, Anthropic published a report detailing what they’ve determined as the first reported “AI-orchestrated cyber espionage campaign”. Chinese state actors used Claude to orchestrate full-scale cyber espionage. Not hypothetically. Not in a lab. In the real world, against real […]

Agentic AI Fundamentals

Understanding Core Concepts of Agentic AI A core challenge in Artificial Intelligence (AI) is reasoning under uncertainty. Historically, AI models were used transactionally for well-defined objectives. However, with the emergent knowledge and reasoning capabilities of Large Language Models (LLMs) attained over the last decade, even more complex and open-ended problems can now be solved autonomously. […]