#sandboxed code execution
97 related articles
·4 min
Harness Engineering: The Core Infrastructure for Taking AI Agents from Demo to Production
Deep dive into Harness Engineering: why AI Agents need memory management, durable execution, guardrails & approvals to go from demo to production.
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·4 min
Harness Engineering: The Core Infrastructure for Taking AI Agents from Demo to Production
Deep dive into Harness Engineering: why AI Agents need memory management, durable execution, guardrails & approvals to reach production. Based on Scott Moss's workshop.
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·4 min
Fable 5 vs GPT-5.6: An In-Depth Head-to-Head Comparison of Two Top-Tier Coding Models
In-depth comparison of Fable 5 vs GPT-5.6 (Sol) for AI coding. Real-world data on token efficiency, code quality, design capability, and cost from $10K+ testing.
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·4 min
Fable 5 vs GPT-5.6: An In-Depth Head-to-Head Comparison of Two Top-Tier Coding Models
In-depth comparison of Fable 5 vs GPT-5.6 (Sol) for AI coding. Covering token efficiency, code quality, design, cost, and safety based on $10K+ real usage data.
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·2 min
Claude as Music Partner: The AGI Moment of AI Paired Creation
A developer added a DAW to their agentic dev environment with Claude, then paired with AI to finish music — experiencing a true AGI moment in creative collaboration.
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·3 min
Zhipu's Mobile AI Agent Tested: A Full Breakdown of the Cloud Phone Approach — Capabilities and Limitations
Hands-on test of Zhipu's mobile AI Agent: using a cloud phone to bypass permission limits, it supports natural language-driven automation. We cover its core mechanics, real performance, app restrictions, and future potential.
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·3 min
GPT-5.6 Released: How Multi-Agent Workflows Are Ending the Chat Box Era
OpenAI releases GPT-5.6 with Sol, Terra, and Luna models plus ChatGPT Work execution environment, shifting AI from chatbots to autonomous multi-agent workflows that directly operate local files and business systems.
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·2 min
Getting Started with ChatGPT Codex: Key Differences Between an AI Coding Agent and ChatGPT
Codex is OpenAI's AI coding agent that autonomously reads code, fixes bugs, and runs tests — far beyond ChatGPT's code generation. Learn the key differences.
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·3 min
Codex, Claude Code, OpenHands, or Hermes: How to Choose the Right AI Agent
Comparing Codex, Claude Code, OpenHands, and Hermes? This guide breaks down each AI Agent's core purpose using a real-world scenario, with a selection checklist and three pitfalls to avoid.
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·2 min
Call Codex Directly Inside Claude Code: A Dual-AI Cross-Validation Workflow
Codex Plugin for Claude Code lets developers invoke Codex reviews directly inside Claude Code. Supports code review, proposal review, background task delegation, and context handoff for a dual-AI workflow.
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·3 min
GPT 5.6 Deep Dive Review: The Most Capable Model Yet — But Also the Most Confusing to Use?
GPT 5.6 brings major capability upgrades and new SOUL/TERRA/LUNA tiers — but also confusing entry points, hidden quota consumption, and a chat window crammed into a floating widget. A deep-dive review.
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Goku: A Browser-Based LLM Inference En…
·2 min
Goku: A Browser-Based LLM Inference Engine and Model Manager Built on WebAssembly
Goku is a browser-based LLM inference engine built on WebAssembly and wllama, enabling local AI inference, model management, and offline use — no cloud API needed.
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Claude Hit by Prompt Injection Attacks…
·2 min
Claude Hit by Prompt Injection Attacks: AI Security Blind Spots and a Defense Guide
A viral Hacker News post reveals how prompt injection attacks can trick AI assistants like Claude into leaking user data. Learn how indirect injection works and how to defend against it.
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Open Interpreter: A Local Coding Agent…
·2 min
Open Interpreter: A Local Coding Agent Built for Low-Cost Models
Open Interpreter is an open-source coding agent optimized for low-cost and local models like Llama and Qwen. 65K+ GitHub Stars, privacy-first, no expensive APIs required.
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·3 min
Zero-Code Research: Using AI Agents to Run Complete Machine Learning Experiments
No coding required: use AI agents like Codex and Claude Code to complete full ML experiments via natural language. A real case study with a heart disease dataset.
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·2 min
Handing Your Life to an AI Agent? The Real Dangers of Over-Authorization
A viral Reddit dark-humor post exposes the real risks of over-authorizing AI agents. When hallucination-prone AI is granted irreversible permissions, the consequences can be catastrophic. We break down key safeguards like least privilege and Human-in-the-loop.
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·2 min
One Sentence, One Game: A Teochew Creator Used AI to Build a Beef Ball Hammering Game — and It's Both Stunning and Unsettling
A Teochew creator used one sentence to prompt Codex into generating a fully playable beef ball hammering game. Here's how it works — and what it means for professional skills in the AI era.
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Cursor Zero-Day Vulnerability Exposed:…
·3 min
Cursor Zero-Day Vulnerability Exposed: When Full Disclosure Becomes the Last Line of Defense
A deep dive into the Cursor AI editor zero-day vulnerability: why the researcher chose full disclosure, AI coding tool security risks, and how developers can protect themselves.
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·3 min
ChatCut × Codex Hands-On: Can AI Agent Edit Your Video With a Single Prompt?
Hands-on test of ChatCut AI video editor: Codex plugin support, auto filler removal, MG animation & subtitle generation. Full workflow test on a 3min 20sec video.
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·3 min
The Complete OpenAI Codex Practical Guide: From Installation to Enterprise Deployment
A complete guide to OpenAI Codex: CLI setup, slash commands, AGENTS.md, MCP integration, multi-agent collaboration, and a RAG customer service project walkthrough.
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