How coding agents use tools, memory, and repo context to make LLMs work better in practice
Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at Sebastian Raschka.
By Ryan Lopopolo, Member of the Technical Staff
arXiv:2606. 15874v1 Announce Type: new Abstract: Every major LLM agent framework gives the LLM the role of orchestrator; the model decides what to do next, when to call tools, and when to stop.
arXiv:2606. 26924v1 Announce Type: cross Abstract: LLM coding harnesses grant agents broad file and shell access, yet the configuration layer that steers them -- rules files, agent definitions, IDE-specific markdown -- is largely unmanaged.
To help robots do chores in places like homes and factories, a new approach from MIT uses one language model to clarify users’ instructions, then another to ignore irrelevant info.