Resilient Write: A Six-Layer Durable Write Surface for LLM Coding Agents
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arXiv
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| Format: | Preprint |
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2026
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| author | Agyemang, Justice Owusu Kponyo, Jerry John Amponsah, Elliot Boakye, Godfred Manu Addo Agyekum, Kwame Opuni-Boachie Obour |
| author_facet | Agyemang, Justice Owusu Kponyo, Jerry John Amponsah, Elliot Boakye, Godfred Manu Addo Agyekum, Kwame Opuni-Boachie Obour |
| contents | LLM-powered coding agents increasingly rely on tool-use protocols such as the Model Context Protocol (MCP) to read and write files on a developer's workstation. When a write fails - due to content filters, truncation, or an interrupted session - the agent typically receives no structured signal, loses the draft, and wastes tokens retrying blindly. We present Resilient Write, an MCP server that interposes a six-layer durable write surface between the agent and the filesystem. The layers - pre-flight risk scoring, transactional atomic writes, resume-safe chunking, structured typed errors, out-of-band scratchpad storage, and task-continuity handoff envelopes - are orthogonal and independently adoptable. Each layer maps to a concrete failure mode observed during a real agent session in April 2026, in which content-safety filters silently rejected a draft containing redacted API-key prefixes. Three additional tools - chunk preview, format-aware validation, and journal analytics - emerged from using the system to compose this paper. A 186-test suite validates correctness at each layer, and quantitative comparison against naive and defensive baselines shows a 5x reduction in recovery time and a 13x improvement in agent self-correction rate. Resilient Write is open-source under the MIT license. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_10842 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Resilient Write: A Six-Layer Durable Write Surface for LLM Coding Agents Agyemang, Justice Owusu Kponyo, Jerry John Amponsah, Elliot Boakye, Godfred Manu Addo Agyekum, Kwame Opuni-Boachie Obour Software Engineering Artificial Intelligence LLM-powered coding agents increasingly rely on tool-use protocols such as the Model Context Protocol (MCP) to read and write files on a developer's workstation. When a write fails - due to content filters, truncation, or an interrupted session - the agent typically receives no structured signal, loses the draft, and wastes tokens retrying blindly. We present Resilient Write, an MCP server that interposes a six-layer durable write surface between the agent and the filesystem. The layers - pre-flight risk scoring, transactional atomic writes, resume-safe chunking, structured typed errors, out-of-band scratchpad storage, and task-continuity handoff envelopes - are orthogonal and independently adoptable. Each layer maps to a concrete failure mode observed during a real agent session in April 2026, in which content-safety filters silently rejected a draft containing redacted API-key prefixes. Three additional tools - chunk preview, format-aware validation, and journal analytics - emerged from using the system to compose this paper. A 186-test suite validates correctness at each layer, and quantitative comparison against naive and defensive baselines shows a 5x reduction in recovery time and a 13x improvement in agent self-correction rate. Resilient Write is open-source under the MIT license. |
| title | Resilient Write: A Six-Layer Durable Write Surface for LLM Coding Agents |
| topic | Software Engineering Artificial Intelligence |
| url | https://arxiv.org/abs/2604.10842 |