AetherFlow: Automated Post-Merge Verification and Dynamic Conflict Resolution in Multi-Agent Programming Environments

AetherFlow is a structured architecture that replaces traditional merge queues with lockless direct entry, backed by probabilistic post-merge verification and proactive auto-remediation agents. By decoupling validation from code acceptance, AetherFlow eliminates queue starvation and reduces integration latency by over an order of magnitude. The architecture is built on four pillars: client-server asymmetry, sparse and virtualized checkouts, lockless incremental changesets, and a tiered cache topology. The paper gives three structured definitions: (1) the dynamic conflict window W(cᵢ, cⱼ) = 1 − exp(−κ·O·e^(−τ/θ)); (2) the post-merge verification operator V(c) = ⊕_V(δ_i, {V(p)}, CI(c_i)); (3) the auto-remediation bound P(Remediation) ≥ 1 − (λ_fail/μ_remediate)^K · e^(−γ·T_react). Three propositions are proven: acceptance independence, monotonicity of the conflict window, and a closed-form minimum tier depth for any target residual risk. AetherFlow is the integration-layer complement to the AetherGit storage architecture. The paper reports no implementation, simulation, or benchmark. Version 1.0.0 — November 2026.

Authors

Publication Details

Journal
Figshare
Published
2026-11-09
DOI
https://doi.org/10.6084/m9.figshare.34936470
Primary Topic
Software Engineering Techniques and Practices
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

AetherFlow: Automated Post-Merge Verification and Dynamic Conflict Resolution in Multi-Agent Programming Environments

Samir Baladi
Figshare
Software Engineering Techniques and Practices
preprint

AetherFlow: Automated Post-Merge Verification and Dynamic Conflict Resolution in Multi-Agent Programming Environments

Samir Baladi
preprint en

Abstract

AetherFlow is a structured architecture that replaces traditional merge queues with lockless direct entry, backed by probabilistic post-merge verification and proactive auto-remediation agents. By decoupling validation from code acceptance, AetherFlow eliminates queue starvation and reduces integration latency by over an order of magnitude. The architecture is built on four pillars: client-server asymmetry, sparse and virtualized checkouts, lockless incremental changesets, and a tiered cache topology. The paper gives three structured definitions: (1) the dynamic conflict window W(cᵢ, cⱼ) = 1 − exp(−κ·O·e^(−τ/θ)); (2) the post-merge verification operator V(c) = ⊕_V(δ_i, {V(p)}, CI(c_i)); (3) the auto-remediation bound P(Remediation) ≥ 1 − (λ_fail/μ_remediate)^K · e^(−γ·T_react). Three propositions are proven: acceptance independence, monotonicity of the conflict window, and a closed-form minimum tier depth for any target residual risk. AetherFlow is the integration-layer complement to the AetherGit storage architecture. The paper reports no implementation, simulation, or benchmark. Version 1.0.0 — November 2026.

Figshare
Software Engineering Techniques and Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon