How to Safely Run Coding Agents

2026-05-20 · Source: Towards Data Science · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning · Depth: Intermediate, medium

Summary

This article details a methodology for safely operating coding agents such as Claude Code and Codex, which are presented as significant efficiency boosters for programmers. It challenges common objections, arguing that extensive manual code review is often unnecessary due to agents' proficiency in generating functional code and identifying bugs, often surpassing human capabilities. The author contends that agents rarely perform unsafe actions, and any potential for destructive operations, like deleting a production database, indicates a flaw in the code infrastructure rather than the agent itself. The recommended approach involves granting liberal permissions, often using "--dangerously-skip-permissions" or "YOLO mode", while specifically blocking irreversible commands like "rm -rf" and limiting admin-level access. Additional safety techniques include employing a second agent for iterative code reviews. This guidance is primarily for general programming contexts, with a note for high-security domains to exercise greater caution.

Key takeaway

For AI Engineers and Software Developers seeking to maximize productivity with coding agents, you should adopt a strategy of granting liberal permissions while implementing specific safeguards. Configure your agents to operate in "YOLO mode" or with "--dangerously-skip-permissions" for most tasks, but critically block irreversible commands like "rm -rf" and restrict admin-level access. Additionally, integrate a secondary agent for automated code reviews to enhance code quality and reduce human oversight, allowing you to safely leverage these powerful tools.

Key insights

Safely running coding agents involves liberal permissions, blocking irreversible commands, and leveraging agent-based code reviews.

Principles

• Agents often write code as good as or better than humans.
• Destructive actions indicate infrastructure flaws, not agent errors.
• Grant liberal permissions, but limit irreversible admin access.

Method

Run agents with liberal permissions (e.g., "YOLO mode"), block specific irreversible commands like "rm -rf", and use a second agent for iterative code reviews to ensure quality and safety.

In practice

• Configure agents with "--dangerously-skip-permissions".
• Implement blocks for commands like "rm -rf".
• Use a dedicated agent for code review cycles.

Topics

• Coding Agents
• AI Safety
• Code Review
• Permissions Management
• LLM Development
• Software Engineering Productivity

Best for: AI Engineer, Machine Learning Engineer, Software Engineer

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• Claude Code auto mode: a safer way to skip permissions — Claude Code's Auto mode uses AI classifiers to automate action approvals, balancing safety with reduced user fatigue.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Towards Data Science.