#autonomous AI agents
1946 related articles
·2 min
Chrome DevTools for Agents: Enabling AI to Autonomously Complete End-to-End Debugging
Google's DevTools for Agents opens Chrome DevTools to AI coding agents, enabling autonomous end-to-end debugging — from reproducing errors to fixing source code — via console logs, network requests, and source maps.
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Smart Proxy: The Key Architecture for …
·3 min
Smart Proxy: The Key Architecture for Running AI Coding Agents Safely and Autonomously
Too much AI permission is risky; too little kills productivity. A smart proxy acts as a controllable middleware layer — intercepting, auditing, and policy-gating AI agent actions in tools like Claude Code and Cursor for safe autonomous operation.
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·3 min
JadePuffer: A Full Autopsy of an Autonomous AI Ransomware Attack — The Age of Weaponized Agents Has Arrived
Sysdig captured JadePuffer, the first fully autonomous LLM attack agent: exploited Langflow RCE, self-corrected in 31 seconds, laterally moved, encrypted databases, and left a ransom note — a deep-dive into weaponized AI agents.
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·4 min
The Three Eras of AI Agents: The Capability Leap from Tool Calling to Autonomous Orchestration
An in-depth look at the three core eras of AI Agent development: reliable tool calling, coherent long-task execution, and autonomous orchestration with metacognition. Helps developers match tasks to model capabilities.
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·3 min
The 7-Level Claude Code Mastery Guide: From Basic Chat to Autonomous AI Agents
From chat to autonomous agents: a 7-level Claude Code mastery guide covering model selection, effective prompting, tool integration, sub-agents, skills, safety, and autonomous operation.
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Enterprise AI Factory: Governance Fram…
·3 min
Enterprise AI Factory: Governance Frameworks and Practical Guides for Autonomous AI Agents
Explore how enterprises building AI Factories can govern autonomous AI agents through identity management, runtime protection, and defense-in-depth to balance autonomy with security.
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·3 min
Loop Engineering Explained: An Engineering Approach to Making AI Coding Agents Run Autonomously in Loops
A deep dive into Loop Engineering and the Rhythmic framework: how closed-loop systems replace repetitive prompting to enable autonomous AI coding agents with state management and budget control.
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·3 min
ARD Protocol Explained: How AI Agents Autonomously Discover and Invoke Tools
ARD (Agentic Resource Discovery) is an open spec by Google, Microsoft & 9 other tech giants, giving AI agents tool discovery. Learn its architecture, MCP synergy & security challenges.
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Bank Accounts for AI Agents: Why the F…
·2 min
Bank Accounts for AI Agents: Why the Financial Infrastructure for Autonomous Agents Is Still Missing
AI Agents already have dedicated emails, but financial infrastructure remains a blank slate. This article analyzes why Agents need independent bank accounts and what ideal solutions look like.
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·2 min
Getting Started with Loop Engineering: Making AI Agents Run Workflows Autonomously
A deep dive into Loop Engineering: core concepts and hands-on setup including Codebase Harness, shared file systems, triggers, and Loop Contracts to make AI agents run autonomously.
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·3 min
BioAgents: A Multi-Agent AI Framework for Autonomous Research in Biological Sciences
Deep dive into BioAgents multi-agent AI framework: how literature analysis and data scientist agents collaborate for autonomous deep research in biological sciences.
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Industry Insights·3 min
AI Agents Deep Dive: The Paradigm Shift from Chat Tools to Autonomous Execution Systems
Deep analysis of AI Agents vs LLMs, covering three evolution stages, four core architecture components, three penetration paths, multi-agent collaboration, and societal impact.
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Product Reviews·2 min
Deep Dive into Warren: A Fully Autonomous AI Coding System Where One Person Uses Agents to Handle the Entire Development Workflow
Deep dive into Warren, a fully autonomous AI coding system. Learn how developer Jim West uses multi-agent collaboration to automate the entire pipeline from intent definition to production deployment.
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Product Reviews·3 min
EloPhanto Open Source Project Deep Dive: An Autonomous Startup Framework That Gives AI Agents a Personality
A deep dive into EloPhanto, the open source AI Agent project using Ego, Emotions, and Identity to drive autonomous business operations with zero human involvement.
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·3 min
AI Agents Used for Automated Network Intrusion for the First Time: Technical Breakdown and Defense Insights
Deep technical breakdown of an AI Agent-driven intrusion at a frontier AI lab, covering the full attack timeline from reconnaissance to data exfiltration, plus defense strategies.
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·2 min
How Much Work Can You Delegate to AI Agents? A Complete Guide to Delegation Boundaries and Trust Strategies
Explore AI agent delegation boundaries: from code completion to autonomous agents across three levels, analyzing verifiability, error costs, and context to build pragmatic trust strategies.
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·2 min
AI Builds the Largest Open-World MMO in History: A New Paradigm for Game Development
Exploring how AI drives large-scale MMO development, from scalable content generation to dynamic NPC interaction, analyzing technical pathways, challenges, and industry implications.
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·3 min
AI Agents Used for Automated Network Intrusion for the First Time: Technical Breakdown and Defense Insights
Deep technical breakdown of an AI Agent-driven frontier lab intrusion, covering the full timeline from reconnaissance to data exfiltration, with analysis of growing offense-defense asymmetry.
Read more →
·4 min
Infrastructure Architecture for Agent Applications: Four Core Patterns Explained
A deep dive into infrastructure architecture patterns for production-grade Agent applications, covering state persistence, sandbox isolation, LLM observability, and cost control.
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·4 min
Infrastructure Architecture for Agent Applications: Four Core Patterns Explained
Deep dive into infrastructure architecture patterns for production-grade Agent applications, covering state persistence, sandbox isolation, LLM observability, and cost control.
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