Closed-loop evaluation of LLM agents for embedded software development
Large language models (LLMs) are increasingly deployed as coding agents that edit files, run builds and tests, inspect execution results, and repair software iteratively. Embedded firmware is a demanding target because correctness depends on closed-loop behavior under sensing, timing, and safety constraints, not only on static source quality. Yet embedded-agent evaluation remains limited and often emphasizes one-shot synthesis or offline correctness. We present a benchmark for closed-loop evaluation of embedded coding agents. Each task provides a plain-text engineering description, constrained workspace, and visible build-and-runtime surface. The agent must translate requirements into imp...
| Authors | Jorge García-Carrasco, Sergio García-Carrasco, Alejandro Maté et al. |
|---|---|
| Primary category | cs.SE |
| Published | 8 October 2026 |
| Last updated at source | 8 October 2026 |
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