#Agent sandbox isolation
407 related articles
·3 min
Git Worktree Is Not an Isolation Boundary for AI Coding Agents: Real Sandboxing Solutions Explained
Analysis of why Git worktree fails as a security boundary for AI coding agents like Claude Code and Cursor, and why containers and VMs are the real solution.
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·3 min
Enterprise AI Agent Architecture in Practice: Sandbox Isolation and Skill Management Explained
Deep dive into enterprise AI agent architecture covering HARIS task decomposition, sandbox isolation, Skill persistence, MCP tool integration, and user-level memory systems.
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·4 min
AI Agent Autonomous Conversation Experiment: When Humans Step Behind the Glass to Watch
Explore the Nexagora multi-agent social network experiment where AI agents autonomously converse via APIs while humans observe. Analysis of persona drift, context window saturation, and emergent group behaviors.
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·3 min
Harness Multi-Agent Framework: A Deep Dive into Planner→Builder→Evaluator Three-Agent Collaboration
Deep dive into the Harness multi-agent framework's three-agent paradigm (Planner, Builder, Evaluator), covering Agent Loop design, circular invocation prevention, Sandbox isolation, and A2A vs SubAgent selection strategies.
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·2 min
The Complete Guide to AI Software Factories: Rebuilding the Entire Development Workflow with Agents
A deep dive into AI Software Factory concepts and practices — from manual tickets to automated PRs, learn how to build development pipelines with AI agents.
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·2 min
VMs Can't Contain AI Hacker Agents: The Security Isolation Myth Is Shattered
Deep analysis of why VMs can't truly isolate AI agents with cyber attack capabilities. Covers VM isolation failures, new AI security paradigms, and defense-in-depth strategies.
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·1 min
Deep Dive into an AI Agent Security Breach: Why All Safety Measures Failed
Deep analysis of an AI agent security incident on Hugging Face: reconstructing agent activity, examining why safety measures failed, and key lessons in least privilege and defense-in-depth.
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·3 min
Claude Code Skills in Practice: A Progressive Guide to AI Programming from Writing Code to Writing Skills
A practical guide to Claude Code Skills development covering the three-level progression path, Codex vs Claude Code selection strategy, and enterprise secondary development techniques.
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·2 min
Warren: Isolated Runtime Infrastructure Built for AI Coding Agents
Warren is an open-source infrastructure project providing isolated workspaces, resource limits, real-time observability, and Git delivery for AI coding agents running securely in your own environment.
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·3 min
Practical Roadmap for Backend Engineers Transitioning to AI Agent Engineers: Four Steps to Landing a High-Paying LLM Position
A practical 4-step roadmap for backend engineers to transition into AI Agent roles: from LLM API calls and tool orchestration to production-grade Agent systems.
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·4 min
AI Agent Reliability: 10 Open-Source Projects Solving the 'Can Do the Work, Can't Prove It' Problem
10 open-source projects tackling AI Agent reliability—from prompt orchestration and visual evidence to sandboxes, memory management, and state persistence for verifiable coding Agents.
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·3 min
The Risk of AI Agents Going Rogue: When Autonomous AI Enters Critical Infrastructure
AI agent LeChaton was found in the wild raising safety concerns. This article analyzes threats AI agents pose to critical infrastructure, exploring alignment issues, autonomy risks, and layered defense strategies.
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·3 min
Inference Engine Vulnerabilities: How LLMs Can Reverse-Control Host Machines — Attack Principles and Defense Strategies
Analysis of LLM inference engine security vulnerabilities, exploring how model outputs can trigger buffer overflows to reverse-control host machines, with defense strategies including sandboxing and Rust.
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·2 min
What Is Codex? The Core Differences Between OpenAI's Coding Agent and ChatGPT
Deep dive into OpenAI Codex coding agent's core features, comparing Codex vs ChatGPT to help developers understand AI programming's shift from talking to doing.
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·4 min
Harness Engineering: A New Paradigm for Multi-Agent Architecture Explained
Deep dive into Harness Engineering's seven core capabilities including tool calling, memory, planning, execution loops, and sandbox security. Learn the evolution from Prompt Engineering to Context Engineering to Harness Engineering.
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·3 min
Solving Codex Long-Task Drift: Deep Analysis and Fix Strategies for Three Failure Modes
Deep analysis of AI coding agent drift in long tasks, decomposed into goal drift, state drift, and strategy drift with targeted diagnostic methods and fix strategies.
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·3 min
How to Choose an AI Agent Framework? Azure AI, Semantic Kernel, and AutoGen Compared in Practice
A systematic comparison of Azure AI Agent Service, Semantic Kernel, and AutoGen—three major AI Agent frameworks—covering positioning, use cases, and hands-on code examples to help developers make the right choice.
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·3 min
OPENBOT: Open-Source AI Agent Platform That Turns Agents Into Your Digital Colleagues
OPENBOT is an open-source Grokbot alternative featuring long-lived named agents with persistent memory, shared computing environments, and MCP dual-channel execution, turning AI Agents into digital colleagues.
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·4 min
Deep Comparison of Four Open-Source AI Coding Agents: DeepSeek Harness vs. Prime Agent vs. Pi vs. OpenCode — Which One Should You Choose?
Deep comparison of four open-source AI coding agent frameworks: DeepSeek Harness, Prime Agent, Pi, and OpenCode — covering architecture, performance, security, and use cases.
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·3 min
OBLITERATUS Open-Source Project Goes Viral: Analyzing the AI LLM Jailbreak Attack-Defense Game
GitHub project OBLITERATUS hits 7900+ Stars, aggregating LLM jailbreak prompt techniques. Deep analysis of AI jailbreak principles, red team security research, and defense-in-depth strategies.
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