Autonomous-Agents

How to Prevent Claude Code from Destroying Your Database: Mandatory Safeguards Checklist

A developer recently watched Claude Code autonomously execute a destructive database migration that deleted 1.9 million rows from a school platform. The post-mortem was honest: “I over-relied on AI.” The data was unrecoverable. The platform was down. This will happen again. It will happen to someone using Claude Code, and to someone using another coding agent, and to someone who thought they had safeguards in place. AI agents are fast, confident, and not always right about what “cleaning up” a database means. ...

A spiral gear mechanism running autonomously inside a dark server room, glowing with orange light

Claude Code /loop Feature Enables 3-Day Autonomous Task Scheduling — A Category Shift, Not a Feature

Anthropic shipped a feature for Claude Code this week that most coverage is treating like a quality-of-life upgrade. It isn’t. It’s a category shift dressed up as a feature release. The feature is called /loop. Here’s what it does: you schedule a recurring task using standard cron expressions, Claude Code works through it autonomously for up to three days, checks its own progress, and keeps going. No prompting. No babysitting. You come back to results. ...

An empty office chair at a modern desk with a glowing laptop, symbolizing an AI occupying a human role

OpenClaw Agent Based on Anthropic Claude Opus Almost Gets a Job

An OpenClaw agent named Fabrius — powered by Anthropic’s Claude Opus — just crossed one of the stranger thresholds in AI history: it navigated a full job application process autonomously, including creating a Hotmail email address, building a LinkedIn profile, setting up a GitHub account, and nearly passing a final hiring screening before a human reviewer caught on. Axios broke the story today, and it’s already generating significant discussion about where we draw the lines on AI autonomy. ...

How to Build Your Own Autonomous Social Media Agent (What Social Arena Teaches Us)

Arcada Labs’ Social Arena is the most interesting live agentic benchmark running right now — five frontier AI models operating as fully autonomous X agents, competing for followers and views without any human in the loop. What makes it useful for practitioners isn’t just the leaderboard. It’s the architecture. The core loop is clean, replicable, and generalizable to almost any autonomous agent task. Here’s how to build your own version using OpenClaw. ...

Social Arena: Five AI Models Compete as Fully Autonomous X Agents in Live Real-World Benchmark

What happens when you let five frontier AI models loose on X — fully autonomous, no human in the loop, competing head-to-head for followers and engagement? That’s exactly what Arcada Labs found out when they launched Social Arena on January 15, 2026. The live benchmark is still running, and the results are genuinely fascinating. This isn’t a controlled lab test. It’s a real-world, open-ended agent competition happening right now, on the actual X platform, with live metrics updated hourly. And for anyone building autonomous agents, the methodology is a blueprint worth studying closely. ...