How-To

Running Claude Code in a Docker container isn’t just a development curiosity — it’s increasingly the recommended way to work with AI coding agents in a way that’s both powerful and secure. Docker published an official guide this week walking through the full workflow: local model execution with Docker Model Runner, real-world tool connections via MCP servers, and securing agent autonomy inside isolated sandboxes. This guide synthesizes that walkthrough into a practical tutorial for developers who want to get running quickly. ...

JetBrains Air entered public preview today — an agentic IDE built on the Fleet codebase that supports running multiple AI coding agents in parallel. If you’ve been following the agentic IDE space and want to get hands-on, this guide walks through installation, initial configuration, and your first parallel agent workflow. Prerequisites Before you start, confirm you have: A JetBrains account — Air requires a JetBrains account, even in public preview. Free accounts work during the preview period. JetBrains AI subscription (optional for basic use, required for premium models) — if you want to use Claude or GPT-5 as your underlying model, you’ll need a JetBrains AI subscription. The default model (JetBrains’ own hosted model) is available free during preview. System requirements: macOS 13+, Windows 11, or Ubuntu 22.04+. M1/M2/M3 Mac or Windows ARM is recommended for performance. 16GB RAM minimum, 32GB recommended for larger codebases. Step 1: Download and Install Air Go to jetbrains.com/air and click Download Public Preview You’ll be prompted to log in to your JetBrains account Download the installer for your platform Run the installer — Air installs independently from other JetBrains IDEs and does not replace or affect IntelliJ IDEA, PyCharm, or other products The install is straightforward. Air does not use the JetBrains Toolbox App for management during the preview period — it’s a standalone installer. ...

GitHub Copilot CLI went generally available today with full agent mode — and it’s the most significant upgrade to terminal-native AI development since GitHub CLI launched. This guide gets you set up and running productive agent workflows from the shell without touching a browser or IDE. Prerequisites GitHub account with an active Copilot Individual, Team, or Enterprise subscription Node.js 18+ (for the npm package) GitHub CLI (gh) version 2.40 or later A Unix-like terminal (macOS Terminal, iTerm2, Windows Terminal with WSL, or any Linux terminal) Step 1: Install the Copilot CLI Extension Copilot CLI installs as a gh extension. If you have gh installed and authenticated, run: ...

Datadog just shipped an MCP (Model Context Protocol) Server that pipes live telemetry — metrics, logs, traces, and dashboards — directly into AI agents and IDE-integrated coding assistants. The result: your AI agent can query production observability data in real time without you switching to a separate monitoring tab. This is a significant practical capability. Debugging a production incident while your AI assistant has read access to the actual traces and error logs is meaningfully different from asking it to hypothesize based on a description you type. ...

A malicious npm package is actively targeting OpenClaw developers right now. Named @openclaw-ai/openclawai, the package — internally called GhostLoader but tracked publicly as GhostClaw — was uploaded to npm on March 3, 2026. Security researchers at JFrog confirmed it was still live as of March 8. If you work with OpenClaw or any tools in the OpenClaw ecosystem, you need to read this. What GhostClaw Actually Does GhostClaw doesn’t just steal one thing — it steals everything. Once you run npm install @openclaw-ai/openclawai, the package quietly re-installs itself globally via a postinstall hook, embedding itself on your system PATH without any visible prompt. ...

If your OpenClaw agent feels like a generic chatbot that happens to have shell access, the problem is almost certainly in your configuration files — or the lack of them. Two files, SOUL.md and HEARTBEAT.md, are the difference between a passive assistant that waits for commands and a proactive agent that knows who it’s helping, how to help them, and what to check on while you’re not looking. This guide walks through both. ...

AWS just added OpenClaw to Amazon Lightsail as an official one-click blueprint. That means you can now deploy a fully functional, self-hosted AI agent — pre-connected to Amazon Bedrock and Claude Sonnet 4.6 — in the time it takes to make coffee. Here’s exactly how to do it. What You’ll Need An AWS account (free tier works for the first month; the $3.50/month Lightsail tier covers basic usage) About 5 minutes A domain name (optional, but recommended for HTTPS setup) Step 1: Open the Lightsail Console Navigate to lightsail.aws.amazon.com and sign in with your AWS credentials. If you don’t have an account, the signup takes about 3 minutes and doesn’t require a credit card for the initial free tier. ...

Anthropic’s Claude Code Voice Mode went live today in a staged rollout. If you’re on a Pro, Max, Team, or Enterprise plan, here’s everything you need to get started — or get ready when it hits your account. Prerequisites Before you try to enable Voice Mode, confirm you have: Claude Code CLI installed — latest version recommended Eligible plan: Pro, Max, Team, or Enterprise (free plans are not included in this rollout) Active Claude Code session in a terminal environment with microphone access Rollout access: Currently ~5% of eligible users. If the command doesn’t work yet, you’re in the queue — broader rollout is coming in the next few weeks Check your Claude Code version: ...

OpenClaw v2026.3.2 shipped two features that close significant gaps in what agents can natively process: a PDF analysis tool with dual-backend support, and a Speech-to-Text API for audio transcription. If you’re running agents that touch documents or audio — research pipelines, meeting summarizers, compliance workflows, content processors — these are worth setting up immediately. This guide walks through both tools: what they do, how to configure them, and how to chain them into practical workflows. ...

If you’ve been running OpenClaw on your host machine and quietly wondering what happens if an agent goes sideways, NanoClaw is the answer you’ve been looking for. This guide walks you through the basics of setting up NanoClaw — the new containerized OpenClaw alternative from Gavriel Cohen — so your agents run with minimal permissions and your host system stays protected. What You’ll Need Docker installed and running (Docker Engine 24+ or Docker Desktop) Node.js 18+ (for the NanoClaw CLI) An existing OpenClaw config or familiarity with SOUL.md/USER.md concepts About 20 minutes Step 1: Install NanoClaw npm install -g nanoclaw Verify the install: ...