Decagon Builds Self-Improving Auto-Research Loop for Inference Optimization
Decagon engineers shared how they built an "autoresearch loop" that lets their inference stack improve itself, generating customized optimizations for each endpoint based on model architecture, traffic patterns, hardware, and latency constraints.
2026-10-29 ~ 2026-10-29 · 2 related posts
- Decagon details a self-improving autoresearch loop for inference stack optimization — kimberlywtan · 2026-10-29
- Decagon builds an autoresearch loop to optimize every inference endpoint — blelbach · 2026-10-29