ALTK‑Evolve, a new framework from Hugging Face, lets agents learn on‑the‑job by integrating reinforcement learning loops into existing pipelines. It builds on the ALTK library, adding real‑time policy adaptation that reduces the need for offline data collection. Practitioners can now fine‑tune agents in production, cutting deployment cycles by up to 30 %.