Ornith-1.0 Self-Scaffolding LLM Boosts Agentic Coding Performance
Ornith‑1.0 introduces a self‑improving training loop that builds its own task scaffolds before generating code, cutting the need for hand‑crafted harnesses. The open‑source models, from 9 B to 397 B parameters, hit state‑of‑the‑art scores on Terminal‑Bench and SWE‑Bench, rivaling Claude Opus. This could streamline CI pipelines by reducing prompt engineering and improving reliability.