The agentic IDE war is moving fast. JetBrains launched Air in public preview just yesterday, positioning itself as the agent-first development environment. Today, Zed — the performance-obsessed open-source editor — ships v0.227.1 with a feature that directly answers the multi-agent challenge: native parallel subagents. What’s New in v0.227.1 The headline feature is a new spawn_agent tool built into Zed’s AI assistant. When the AI determines a task would benefit from parallel execution, it can now spawn and run subagents in parallel — each handling a discrete portion of the work in its own context window — and then coordinate the results. ...

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 has moved Copilot CLI to general availability for all Copilot subscribers, bringing full agent mode to the terminal. The GA release, announced via the official GitHub changelog, adds the capability to plan, write, debug, and review code without leaving the shell — along with custom agent definitions and sub-agent support for JetBrains IDEs. For developers who live in the terminal, this is the Copilot integration they’ve been waiting for. The browser and IDE-based Copilot experiences have matured significantly, but the command line remained a second-class citizen until today. ...

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: ...

Every year the threat intelligence industry produces a report that crystallizes what defenders already suspected but couldn’t quite prove. Flashpoint’s 2026 Global Threat Intelligence Report (GTIR) is this year’s version — and its central claim is blunt: agentic AI has crossed from criminal curiosity to deployed offensive infrastructure. This isn’t speculation. It’s sourced from Flashpoint’s Primary Source Collection (PSC), which monitors criminal forums, dark web markets, and adversarial communication channels in near-real-time. The signal they’re seeing is a rapid acceleration of AI-related discussions that started as curiosity and has hardened into active capability development. ...

Anthropic is doing two things at once: building the most sophisticated AI policy apparatus in the industry, and fighting for its survival against a federal government that has designated it a supply-chain risk. On Wednesday, the company announced the Anthropic Institute — a new internal think tank combining three existing research teams — while simultaneously disclosing that the White House is preparing another executive order that could threaten hundreds of millions in 2026 revenue. ...

Two major enterprise AI reports landed on the same day — and they’re telling the same uncomfortable story: organizations are racing to deploy AI agents, but the majority can’t tell you whether those agents are actually delivering value. ModelOp’s 2026 AI Governance Benchmark Report and Gartner’s Data & Analytics Summit Day 2 both focused heavily on agentic AI adoption in the enterprise — and both landed on the same core finding: the tools are proliferating, but the measurement and governance infrastructure hasn’t kept pace. ...

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. ...

Yann LeCun — Turing Award winner, longtime Meta chief AI scientist, and one of the most vocal critics of the current large-language-model paradigm — has officially left the building. His new venture, AMI Labs (Advanced Machine Intelligence), just closed a $1.03 billion seed round at a $3.5 billion pre-money valuation, making it Europe’s largest-ever seed raise in tech. The backers include Nvidia, Temasek, and Jeff Bezos. The thesis: build AI that understands physical reality, not just language. ...

“Linux took, right, some 30 years to reach this level. OpenClaw, in three weeks, has now surpassed it.” That quote came from Nvidia CEO Jensen Huang at the Morgan Stanley Technology, Media, and Telecom Conference on March 4. It didn’t get the headlines it deserved at the time — but today’s Meta-Moltbook acquisition makes it impossible to ignore. A Software Milestone Unlike Any Before It OpenClaw is now the single most downloaded open-source software project in history. That’s not a projection or a trend line — it’s where the download curve actually landed, surpassing Linux’s cumulative install base in under a month. ...