# CORVUS Attacks the Bloated Context Trails That Slow LLM Coding Agents

The method targets the append-only trajectory that accumulates reasoning, tool calls, and results, aiming to cut context cost without losing the information an agent needs.

- Published: 2026-07-28T05:47:21.225Z
- Canonical: https://polylog.news/ai/2026-07-28/corvus-attacks-the-bloated-context-trails-that-slow-llm-codi
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [arXiv](https://arxiv.org/abs/2607.22711)

A paper titled CORVUS addresses a concrete problem in large language model (LLM) coding agents. The conventional append-only trajectory concatenates every reasoning step, tool call, and result into an ever-growing context. That design ties…

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