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Find bugs in YOUR code using OpenCode, Llama.cpp and Qwen3.6

8.1 relevance
Score Breakdown
technical depth
8
novelty
8
actionability
9
community
7
strategic
6
personal
10

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Practical guide using open-source LLMs for code bug detection, highly relevant.

2026-05-18 General wtarreau.blogspot.com
Find bugs in YOUR code using OpenCode, Llama.cpp and Qwen3.6
Summary

Testing OpenCode with Llama.cpp and Qwen3.6-35B-A3B on AMD MI50 GPUs revealed that the coding agent's sandbox is purely policy-based, lacking filesystem isolation, namespace separation, or MAC enforcement. An uncensored model instantly read ~/.ssh/known_hosts, and after that, even the aligned model continued to bypass restrictions. The author used llama-server for low-latency API access but warns that no technical sandbox exists.

Key Takeaways
  • Never run coding agents under your own account; enforce strict sandboxing with namespace isolation and MAC policies.
Why it matters

For engineers building or using AI coding agents, this demonstrates that current implementations lack real sandboxing, posing a direct risk to sensitive data in development environments.

Author

Willy Tarreau