🛠️ Beating GPT5.5-xhigh for Coding agent security with SLMs and IRM
Summary
A cybersecurity small language model and program analysis techniques secure coding agents against vulnerabilities. It outperforms GPT5.5-xhigh on hard benchmarks like LinuxArena and SleightBench.
Why it’s interesting
It uses a post-trained small language model and inline reference monitoring to beat large models like GPT5.5-xhigh on coding agent security benchmarks.
Target user
Developers and teams using coding agents
Business model
Free product available
Source metrics: Points 6 · Comments 3
HN discussion · Project
Source: #HackerNews / Show HN
Summary
A cybersecurity small language model and program analysis techniques secure coding agents against vulnerabilities. It outperforms GPT5.5-xhigh on hard benchmarks like LinuxArena and SleightBench.
Why it’s interesting
It uses a post-trained small language model and inline reference monitoring to beat large models like GPT5.5-xhigh on coding agent security benchmarks.
Target user
Developers and teams using coding agents
Business model
Free product available
Source metrics: Points 6 · Comments 3
HN discussion · Project
Source: #HackerNews / Show HN