How I Sandbox AI Coding Agents
Running coding agents in full autonomy means giving them a shell with the permission prompts turned of, which is dangerous. This is the layered setup I use to do it anyway.
Read moreInsights on AI engineering, agentic systems, and design.
Running coding agents in full autonomy means giving them a shell with the permission prompts turned of, which is dangerous. This is the layered setup I use to do it anyway.
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Two days of debugging a local coding agent on a single RTX 4090, and why open-weight models are closer to ready than they look but harder to get there than they should be.
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Meta, layoffs, and the backward feedback loop of AI labor
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Fewer juniors today means fewer experts tomorrow. The math doesn’t fix itself.
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When feedback is instant, methodology dissolves. Knowing when you’ve converged versus when you’re thrashing. That’s judgment, and it remains scarce
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Sandboxes, credential proxies, and human-in-the-loop protocols — the three layers emerging to make AI agents actually trustworthy.
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Developers continue using tools they don't trust because the alternative feels worse than the problem.
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Why the most reliable AI models for production workflows aren't the ones topping the leaderboards
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OpenAI's simultaneous push into vertical integration and plugin architecture reveals the fundamental tension between control and ecosystem growth that will reshape AI development tools
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We're not just changing how we write code, we're inverting which skills matter, and most people haven't noticed yet.
Read moreMost developers are using AI tools they can’t effectively direct, and we’re about to find out what that costs.
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Vendors and evaluators agree on what coding agents can do, they just defined "complex" differently and hoped no one would notice.
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The shift from writing code to managing AI agents doesn't reduce mental effort. It replaces the satisfying strain of building with the draining vigilance of supervision.
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