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Why AI Agents Need a Two-Tier Architecture
How do you deploy a public chatbot that runs real commands - ffmpeg, shell tools, anything - without a stray prompt wiping your host or leaking your keys? Split the brain from the hands.
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How Claude Code & Codex approach sandboxing
How OpenAI's Codex and Anthropic's Claude Code prevent an LLM from running arbitrary commands on your machine. Same OS primitives, different trust architectures.
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Anthropic Skills Can Be Programmatically Optimized (Using DSPy)
Are the Skills already optimized at the job they are supposed to do? Or can we make it even better?
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I built a mitmproxy AI agent using 4000 paid security disclosures
Teaching AI agents to find security vulnerabilities by distilling 4,000 paid HackerOne bug bounty reports - from PDF cracking to API hacking with CLI tools.
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InstaPoT: Using InstaVM with DSPy's Program of Thought
Learn how to use InstaVM as the code execution backend for DSPy's Program of Thought module, enabling secure Python code execution for LLM-powered reasoning.
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Anti-patterns while working with LLMs
Anti-patterns observed while working extensively with LLMs - from redundant context to over-engineering.
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Part 2: I Want Everything Local - Building My Offline AI Workspace (Claude Skills)
We wanted to let people import their skills from Claude and use it locally - no cloud dependencies, maximum privacy.
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