Devops

The Agent Cost Wars — Updated: GLM-5, M2.7, and What the Leaderboard Actually Tells Us

• Haggai Philip Zagury
• Agentic ai

TL;DR A week ago I published a piece about MiniMax M2.5’s “$1/hour agent” promise and called it the dawn of always-on intelligence. Since then, the leaderboard moved — fast. GLM-5 dethroned M2.5 as the top open-weight model, M2.7 shipped with the same aggressive pricing but unconfirmed licensing, and Gemini 3.1 Pro quietly became the price-performance king among flagships. This is my attempt to challenge my own earlier post with updated numbers from Artificial Analysis, and share some careful impressions on what this means for practitioners heading into the second half of 2026.

From smoke to sanity: how I unintentionally used Pomodoro and rebuilt my focus after quitting

• Haggai Philip Zagury (hagzag)
• Medium publications

Originally posted on the Israeli Tech Radar on medium.

TLDR: For 25 years in the demanding world of IT, I had a secret productivity weapon. It wasn’t a tool or a certification; it was a ritual that could cut through the thickest mental fog and reset my brain on the most complex problems.

Building Production-Ready AI Agent Workflows: MCP Integration and Operational Excellence

• Haggai Philip Zagury (hagzag)
• Medium publications

This is Part 2 of our series on AI agents in DevOps. If you haven’t read Part 1: From AI Assistants to AI Agents, I recommend starting there to understand the foundational concepts.

From Prompts to Agents — a DevOps Engineer navigating the AI Landscape

• Haggai Philip Zagury (hagzag)
• Medium publications

TLDR; A.I is no longer a futuristic concept; it’s fundamentally changing how we work today. For those of us specializing in DevOps, SRE, and platform engineering, this shift presents both incredible opportunities and new challenges. We’ve moved quickly from debating if AI will impact our work to figuring out how to effectively integrate it and adapt our skillsets to stay relevant and valuable.