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The Polylog AI Intelligence Brief

Morning Edition · Tuesday, July 28, 2026Published at 1:31 AM EDT · New York

CORVUS Attacks the Coding Agent's Real Bottleneck: an Append-Only Trajectory That Bloats Context

The method restructures how agents accumulate reasoning, tool calls, and results, targeting the context growth that makes long agent runs slow and expensive.

A paper called CORVUS targets a structural weakness in how large language model coding agents work. Today's agents build a trajectory that appends every reasoning step, tool call, and result in order. That append-only design ties context gr…

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The Inference-Cost Efficiency Race

Techniques that cut tokens generated and KV-cache memory per query will keep compressing the marginal cost of serving reasoning models, making inference efficiency a recurring competitive axis alongside raw capability.