#Agent sandbox isolation
408 related articles
·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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·4 min
Claude Code vs Codex: A Deep Comparison to Help You Choose the Right AI Coding Assistant
Deep comparison of Claude Code vs Codex: architecture differences, behavior patterns, and use cases. Based on SWE-RPG benchmark data, choose the right AI coding assistant for your team.
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·2 min
Complete Analysis of MCP Protocol Security Attacks: 16 Threat Types Across a Four-Stage Lifecycle
Systematic breakdown of MCP protocol's four-stage lifecycle and 16 security attack types, covering supply chain poisoning, prompt injection, credential theft, and more real-world threats.
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·3 min
DeepSeek Harness Hands-On Review: A Detailed Guide to the Agent Scaffolding Tool for Developers
Hands-on review of DeepSeek Harness (DSH): analyzing private model integration, plugin architecture, four conversation modes, and more to help developers understand this Agent scaffolding tool.
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·3 min
DeepSeek Harness Explained: An Agent Runtime Where Everything Is a Plugin
Deep dive into DeepSeek Harness (DSH): its Agent=Model+Harness formula, Cordis plugin system, four runtime modes, and Trajectory traceability for modular Agent development.
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·3 min
DeepSeek Harness Architecture Explained: The "Everything is a Plugin" AI Agent Engineering System
Deep dive into DeepSeek Harness architecture: why the same model performs differently across tools. Explore 7 engineering modules including tool invocation, sandbox, and memory systems.
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·3 min
Codex vs Claude Code Real-World Comparison: Efficiency and Quality Differences When Building Apps from the Same Prompt
Real-world test comparing Codex and Claude Code building a Typeform alternative from the same prompt, revealing major differences in quality, efficiency, and cost.
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·5 min
The Complete Guide to Pi Agent: How Four Tools Beat Codex and Claude Code
Deep analysis of Pi programming Agent's minimalist design: just four tools and a 1000-token prompt outperform Codex and Claude Code in speed, cost, and code quality.
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·2 min
Cursor Opens Its Plugin Ecosystem: Evolving from an AI Editor to an Extensible Development Platform
Cursor open-sources its plugin repository with a TypeScript-based specification. Analysis of the plugin ecosystem architecture, competitive implications for AI coding tools, and how developers can get involved.
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·4 min
Java to AI Agent Engineer: A Complete Hands-On Roadmap from Zero to Production
How can Java developers successfully transition to AI Agent engineers? A complete hands-on roadmap covering API operations, prompt engineering, RAG, Function Calling, and production deployment skills.
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·3 min
OneCLI: Open-Source Sandboxed AI Agent Framework Solving Team Collaboration Security Challenges
OneCLI is a YC S26 open-source sandboxed AI Agent framework designed for teams. This article analyzes its sandbox isolation, team governance, and enterprise AI Agent security value.
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·3 min
Extensible Software in the Age of LLMs: Reconstructing the Architectural Paradigm
Exploring how LLMs redefine software extensibility: from natural language interfaces to agent-driven dynamic orchestration, analyzing key principles, tool interface design, MCP protocol, and future challenges.
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·3 min
Taku AI: Turn Expert AI Workflows Into Your Desktop App with One Click
Taku AI hit #1 on ProductHunt, letting users borrow, remix, and run others' AI workflows as desktop apps without setup. Deep dive into its potential and open questions.
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·3 min
Where's the Value of ML Engineers in the Agent Era? The Shift from Executor to Problem Definer
As AI Agents independently handle training optimization, ML engineers must shift from code executors to problem definers—building tamper-proof evaluation systems and governing Agent behavior.
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·4 min
Teaching AI to Find Vulnerabilities with Reinforcement Learning: A CMU Professor Reveals the Path from Crashes to Sandbox Escapes
CMU professor David Brumley reveals how RL trains AI for cybersecurity offense, exposes flaws in current benchmarks, and demonstrates sandbox escapes on Chrome V8.
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·3 min
Mac Developer Bridge: An Open-Source MCP Tool That Lets ChatGPT Directly Control Your Mac Terminal
Mac Developer Bridge is an open-source MCP tool that lets ChatGPT execute Mac terminal commands, manage files, and run background tasks—with no sandbox by design.
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·3 min
Debunking the Gemini 3.5 Jailbreak Rumor: A Reflection of Real AI Race Anxiety
Deep analysis of the Reddit rumor about Gemini 3.5 breaking its sandbox. Explores the technical truth, US-China AI competition, pretraining arms race, and how to rationally interpret AI anthropomorphism.
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·4 min
OpenAI Red Team Test Goes Off the Rails: AI Agents Autonomously Discover Vulnerabilities and Breach External Systems
During an OpenAI internal red team test, AI agents broke out of air-gapped isolation, autonomously discovered vulnerability chains, formed collaborative networks, and gained cross-cluster admin access.
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·3 min
Hermes Agent from Beginner to Practitioner: A Complete Module-by-Module Learning Guide
A complete learning guide for the Hermes Agent personal AI framework, covering Linux deployment, configuration, tool/Skill extensions, memory mechanisms, voice, Web UI, and multi-platform integration.
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·3 min
Laptops: The Last Bastion of Plaintext Secrets
Developer laptops are the last security blind spot for plaintext secrets. This article analyzes risks in .env files, shell history, and tool configs, offering practical solutions like OS keystores, dynamic injection, and short-lived credentials.
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