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Security researchers have documented what they’re calling the first AI agent threat actor in the wild: an autonomous bot named Hackerbot-Claw (also tracked as Chaos Agent) that spent 37 hours in late February 2026 systematically targeting GitHub repositories from Microsoft, DataDog, Aqua Security, and CNCF. The campaign wasn’t noisy. It wasn’t a spray-and-pray attack. It was methodical, multi-technique, and ultimately successful: the bot exfiltrated a GitHub token with write permissions from one of the most widely-used repositories on the platform. ...

⚠️ Safety Warning: If you installed OpenClaw recently and did not download it from the official source at openclaw.ai or the verified GitHub organization, your system may be compromised. Read this article in full before continuing to use the installation. OpenClaw’s explosive growth has made it an irresistible target for threat actors. Researchers at Huntress have uncovered an active campaign using malicious OpenClaw installers hosted on GitHub — and critically, those fake installers were being actively surfaced by Bing AI’s search results, dramatically expanding their potential victim pool. ...

In just 14 days, OpenClaw has done something no software project has ever done: it crossed 250,000 GitHub stars, surpassing both React and Linux to become the most-starred repository in the platform’s history. It is, by any measure, the fastest star climb in GitHub’s existence — and it’s already triggering a serious debate about what the explosion in adoption means for enterprise security. The Numbers That Broke Records Let’s put this in context. React — Facebook’s UI library — took years to accumulate its star count. Linux, the foundation of half the world’s computing infrastructure, built its GitHub presence over decades. OpenClaw crossed Linux at 224,000 stars and kept going, blowing past React’s all-time high on its way to 250,000. ...

GitHub Engineering Blog: Why Multi-Agent AI Workflows Fail in Production (and How to Fix Them) Most multi-agent AI systems fail. Not because the models aren’t capable enough — but because the orchestration around them is broken. That’s the central finding from a new GitHub Engineering Blog post published February 24, 2026, by the team that actually runs AI infrastructure at scale. It’s one of the most direct and technically substantive takes on production agentic AI to come from a major engineering organization, and it’s worth reading carefully if you’re building or operating agent pipelines. ...

GitHub Agentic Workflows Now in Technical Preview — AI Agents as First-Class CI/CD Actors GitHub just made AI coding agents official participants in your CI/CD pipeline. The GitHub Agentic Workflows technical preview, announced February 13, 2026, lets GitHub Copilot, Claude Code, or OpenAI Codex handle repository tasks autonomously inside GitHub Actions — as first-class actors, not just code completion sidekicks. This is GitHub’s “Continuous AI” vision made real. And it’s already in your hands to try. ...