“Security is always excessive until it’s not.” — Robbie Sinclair Fortifying the Core: A Practical Guide to Hardening Your MCP Server When the Model Context Protocol (MCP) was introduced, it offered an elegant standard for sharing context between AI models, […]
Trust, But Verify: Hardening Your MCP Server from the Socket Up Read More »
“Trust in AI isn’t just built on what it knows—but on how transparently, fairly, and safely it decides what to do with what it knows.” — Cynthia Dwork Wired for Good: The Rise, Risks, and Responsibilities of AI Ethics The
Terms of (Algorithmic) Endearment: Engineering Trust into Your AI Stack Read More »
“In the future, software won’t be written—it will be assembled, negotiated, and delegated by agents that speak in protocols we’re only beginning to understand.”— Adapted from contemporary AI systems engineer discourse Protocol Wars and Purpose-Built Agents: Deep Technical Analysis of
The Agent Assembly Line: Orchestrating AI Systems with MCP, A2A, AG-UI, and RAG Read More »
“The goal is to turn data into information, and information into insight.” — Carly Fiorina Stacks on Stacks: Navigating the Modern Data Engineering Landscape “Without data, you’re just another person with an opinion.“— W. Edwards Deming Chapter One: From Storage
Data on Tap: Engineering Modern Pipelines from Batch to Real-Time Read More »
“Data is the new oil, but only if it’s refined, contextualized, and given depth.”— Adapted from Clive Humby’s original metaphor The Depth of Data: A Deep Dive into 3D Data Engineering Introduction: Beyond Flatland In the earliest days of computing,
The World Isn’t Flat—Why Your Data Pipeline Shouldn’t Be Either Read More »
“Language is the medium of intelligence—when agents speak, coordination becomes cognition.” — Inspired by Marvin Minsky When Agents Talk: The Rise of Agent2Agent (A2A) Protocol in a Post-MCP World Introduction In the rapidly evolving landscape of autonomous agents, interoperability is
Talk Smart to Me: How Agent2Agent Protocol Powers Autonomous Collaboration Read More »
“To be trusted is a greater compliment than to be loved.”— George MacDonald Trust, But Verify: Strategies for Building Trust in AI Introduction In the early days of computing, trust in machines was largely binary—either they worked, or they didn’t.
The Trust Stack: Building AI You Can Rely On from Data to Deployment Read More »
“Information is the oil of the 21st century, and analytics is the combustion engine.” – Peter Sondergaard Open Table Formats: Unlocking the Future of Data Architecture In the ever-evolving world of data engineering and analytics, one innovation quietly reshaping modern
Open Tables, Open Futures: Building Scalable, Interoperable Data Platforms Read More »
“Computers are incredibly fast, accurate, and stupid. Human beings are incredibly slow, inaccurate, and brilliant. Together they are powerful beyond imagination.” – Albert Einstein Human-in-the-Loop Agentic AI: The Future of Intelligent Collaboration In the sprawling landscape of artificial intelligence, few
Scaling Wisdom: Designing Human-in-the-Loop Architectures for Intelligent Agents Read More »
“Data is the new oil? No, data is the new soil.” – David McCandless When the Well Runs Dry: A Deep Dive into Foundation Model Training Data, Global Disparities, and the Coming Data Drought For decades, the engines of artificial
Data Nationalism and the AI Hunger Games: When Foundation Models Run Out of Fuel Read More »
