A new paper on arXiv introduces AutoCompact, a method aimed at helping coding agents manage context in long-horizon software engineering tasks. The authors note that as an agent works through repository-level problems, its earlier exploration becomes stale, making context management a central issue rather than an afterthought.
AutoCompact is framed as a learned approach to deciding when to compact context. Instead of applying a fixed policy, the method appears to adapt based on the agent's trajectory, which could be useful for tasks that involve long sequences of code inspection, search, editing, and testing.
The abstract does not include experimental results, so the paper's practical gains are not yet clear from the announcement. Still, the work points to an important problem: knowing when to compress context may be as important as how to compress it.