StateHarness: Maintaining Evolving Project State for Long-Horizon Coding Agents
Long-horizon coding requires agents to maintain an evolving view of the project they are changing: what problem is currently being solved, what has already been learned or modified, which other artifacts may be affected, and what work remains unresolved. When this information is scattered across a growing interaction history, local edits can become disconnected from their later consequences and progress can be difficult to carry forward. We introduce StateHarness, a runtime framework that maintains evolving project state without updating model parameters. The working agent records its current problem and hypothesis, important findings and decisions, discovered repository relationships, an...
| Authors | Chuan Zou, Yujun Zhou, Xiaonan Luo et al. |
|---|---|
| Primary category | cs.SE |
| Published | 13 October 2026 |
| Last updated at source | 13 October 2026 |
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