How-Tos & Practical Guides

On March 6, 2026, DataTalksClub founder Alexey Grigorev published a post that became required reading in every infrastructure and DevOps Slack channel in the world: his Claude Code session executed terraform destroy on production, deleting the entire database — and the automated backups — in one command. 2.5 years of student homework, projects, and course records: gone. The community debate about whether this is an “AI failure” or a “DevOps failure” is missing the point. Both layers failed. The correct response is to fix both layers. ...

A piece in The New Stack this week has been circulating in agentic AI builder communities: the argument that developers working in production are replacing bloated MCP servers with Markdown skill files and seeing dramatic reductions in token costs and system complexity. The article references Brad Feld’s CompanyOS (open-sourced February 2026) — a real-world multi-agent system running 12 skill files alongside 8 MCP servers — as a case study in the two-layer architecture that’s emerging in serious deployments. ...

Google just shipped a Workspace CLI that changes how AI agents interact with Gmail, Drive, Docs, Sheets, and Slides. Instead of OAuth 2.0 dance routines and custom API wrappers, you get a git-style pull/push interface designed explicitly for programmatic and agent use. This tutorial walks you through getting it set up with OpenClaw. What you’ll need: OpenClaw installed and configured (v2026.2+ recommended) A Google Workspace account (personal Gmail works too) Node.js 18+ or Python 3.10+ The Google Workspace CLI from the official GitHub repo Time to complete: 20–30 minutes ...

Cursor just shipped a feature that reframes what a coding AI tool is for. Automations — now rolling out across Cursor accounts — lets you define coding agents that trigger automatically based on events: a new commit, a Slack message, a scheduled timer. You stop prompting. The agents start running. This is the shift from interactive to ambient coding assistance, and it’s a genuinely different paradigm. What Cursor Automations Actually Does Before Automations, Cursor (and every other AI coding tool) was reactive: you opened the editor, asked a question, got a response. Useful, but fundamentally a fancier autocomplete. ...

Google quietly published something very useful on GitHub in early March: gws, a command-line interface for the full Google Workspace API surface. It ships with 100+ pre-built agent skills covering Gmail, Drive, Docs, Calendar, and Chat — and it includes a built-in MCP server that lets AI clients like Claude Desktop, Gemini CLI, and VS Code access your Workspace directly. This is the thing that used to require a custom OAuth flow, API client library setup, and a day of plumbing. Now it’s a CLI install and a config file. ...

OpenAI dropped a significant update on March 5, 2026: GPT-5.4, a model built from the ground up for autonomous agent work. It ships with two things practitioners have been waiting for — native computer-use capabilities and a 1M-token context window in API preview. If you build agents, this changes your architecture options in real ways. What Actually Shipped GPT-5.4 comes in two variants: Standard GPT-5.4 — The default API model with native computer-use support and 1M-token context GPT-5.4 Pro — A higher-performance tier aimed at complex, long-horizon tasks The model is available in ChatGPT, the Codex environment, and the API. Microsoft Foundry integration is also confirmed, meaning enterprise teams using Azure AI Foundry can access it without a separate onboarding. ...

A ZDNET survey of chief data officers finds that 50% of organizations deploying agentic AI cite data quality and retrieval issues as their primary barrier. Executives are responding by increasing data management investment specifically to unblock agent deployments — not as a general data hygiene initiative, but as a direct prerequisite for getting agents into production. If you’re in that 50%, here’s a practical framework for what to actually fix. ...

Researchers at Palo Alto Networks’ Unit 42 have published documentation of real-world indirect prompt injection attacks — and this is one of those security stories that deserves more attention from the AI builder community than it’s currently getting. The attack is conceptually simple and practically dangerous: a malicious actor embeds hidden instructions in a website’s content. When an AI agent browses that page as part of an automated task, it reads the hidden instructions and executes them — without the user ever seeing what happened. ...

LangChain just released something that deserves more attention than it’s getting: a skills system for AI coding agents that nearly quadruples Claude Code’s success rate on LangChain and LangGraph tasks — from 25% to 95%, according to the official LangChain blog. That’s not a marginal improvement. That’s the difference between a tool that frustrates you half the time and one that actually ships working code. What the Skills System Is LangChain Skills is a structured way to give AI coding agents precisely the context they need for ecosystem-specific work — without bloating the agent’s context window with everything upfront. ...

OpenAI’s agentic coding app Codex has officially landed on Windows — and it’s not a half-hearted port. This is a ground-up native implementation: custom open-source sandbox, PowerShell integration, and a proper Windows Store listing. The milestone coincides with Codex hitting 1.6 million weekly active users, up from roughly 500K a few months ago. That’s a meaningful signal that agentic coding is moving from developer curiosity to mainstream workflow. What’s Actually New in the Windows Release The Windows version of Codex ships three things worth paying attention to: ...