Claim Plane: Reliability Gains and the Limits of Selective Concurrency for Parallel Coding Agents: A 30-Pair, Three-Seed Confirmatory Study of Deterministic Pre-Write Admission

2026-08-01

AI Summary

This work addresses the reliability degradation in parallel coding agents, where locally generated code changes often fail upon integration due to conflicts. To mitigate this, the authors propose a deterministic pre-commit admission mechanism based on a “Claim Plane,” which coordinates versioned change intents and combines static and dynamic admission policies with guided serialization—all while freezing change intents to preserve consistency. Experimental results demonstrate that this approach improves the overall task pass rate from 23.3% to 50.0%, increases the pass rate in conflict-prone scenarios from 6.7% to 60.0%, and raises integration success from 65.6% to 96.7%. The system employs DeepSeek-V4 Pro for planning and DeepSeek-V4 Flash for code generation, with full experimental data publicly released to support reproducibility.

Abstract

Parallel coding agents can produce locally valid changes that fail when combined. Claim Plane addresses this failure mode as deterministic pre-write admission over versioned change intents. This paper reports a confirmatory study on 30 frozen CooperBench feature pairs, balanced between 15 conflict and 15 clean labels, with three coder seeds, four coordination arms, and 360 completed executions. DeepSeek V4 Pro generated 60 feature-level planner declarations once; the declarations were frozen across all arms and coder seeds, while DeepSeek V4 Flash performed the coding work. Static Claim Plane raised pair pass from 23.3% under unconstrained parallel execution to 50.0%, a paired task-cluster difference of +26.7 percentage points (95% bootstrap CI 9.6 to 60.0), and raised integration success from 65.6% to 96.7%. On conflict-labeled pairs, pair pass rose from 6.7% to 60.0%. However, static admission serialized 96.7% of executions, including 93.3% of clean cases, and therefore recovered reliability largely by collapsing toward serial execution. Dynamic admission was more selective, serializing 66.7% of conflict cases and 13.3% of clean cases, but 46 of 90 executions failed closed on undeclared scope, reducing pair pass to 22.2%. Forty-five of those 46 blocks targeted files already present in the frozen declarations, indicating region undercoverage and insufficient amendment handling rather than wholly unknown files. The results support pre-write admission as a reliability mechanism, but they do not establish useful wall-clock parallel speedup: provider calls were physically sequential, and the conservative policy largely serialized the workload. The complete study artifacts, hashes, and clustered bootstrap analysis are publicly released for reproduction.

Problem

• parallel coding agents
• reliability
• concurrency
• code integration
• change coordination

Innovation

• Claim Plane
• deterministic pre-write admission
• parallel coding agents
• versioned change intents
• selective concurrency