Explains the key differences between microservices and AI agents, highlighting broken assumptions and security risks.
A practical roadmap for learning agentic engineering, focusing on building core skills before using advanced AI tools.
Explores how ClickHouse powers real-time analytics for AI agents, with ingestion patterns, event loop architecture, and production use cases.
Explains why composable analytics outperforms metric catalogs for AI agents, enabling dynamic metric composition and deeper data reasoning.
Guide to implementing Model Context Protocol (MCP) in a lakehouse architecture with Python, covering specification, server building, and deployment.
Explains how enterprise SaaS buyers now require a governed semantic layer for AI agent data access, shifting from dashboard-first to semantic-first procurement.
Analysis of AI narratives swinging between extremes, arguing the truth about AI's impact on work lies in the middle.
A reflective analysis on whether AI tools truly boost productivity or just create a sense of performative busywork in software development.
Daily tech reading list covering cloud events, code review, modular monoliths, AI agents, TDD, and reliability engineering.
Explores how Claude Code Teams Agents enable specialized AI agents to collaborate like human engineering teams, moving beyond single-assistant coding to scalable AI-driven software delivery.
A developer shares experience running multiple AI coding agents simultaneously and discusses the changing productivity equation in software engineering.
Announcement of speaking at CollabDays Madrid 2026 about Microsoft 365 Agents SDK and AI-driven agent development.
Step-by-step guide to deploying AI agents to production using Docker, FastAPI, and LangGraph with best practices.
Explores using AI agent teams with subagents in Google Antigravity to build a full-stack app in 90 seconds.
A technical walkthrough of building multi-agent AI workflows with ARB governance gates using OMO Teams and OpenCode harness.
A critical analysis of AI-generated content duplication on Hacker News, exploring the theory of collective hallucination in tech media.
Daily tech reading list covering AI efficiency, burnout, Go modules, engineering culture, and solo founding trends.
A guide to the Build tab in Microsoft Foundry, covering agents, models, and tools for creating AI applications.
Daily reading list covering AI agents, MCP, Gemini Managed Agents, and the impact of AI on developer skills and productivity.
Explains mathematically why traditional lakehouses fail AI agents and introduces the agentic lakehouse concept.
