This paper argues that the community needs a simulation-driven methodology to systematically discover and prevent agent-induced failures across the data sys-tem stack before facing production incidents, and demonstrates this approach on Execution Control Systems (ECS).
This work presents Aries, a full-stack experimentation framework that separates task semantics from execution configurations, reconstructs cross-component agent trajectories with correlated system telemetry, and exposes stateful tool execution through a consistent interface across heterogeneous sandbox substrates.
Leonid Kondrashov, Hongrui Liu, JooYoung Park et al.· arXiv.org· 1 citation
Modern databases must serve highly variable workloads: short queries that demand low latency and long-running tasks that consume significant resources. Under heavy load, these workloads risk spiraling into metastability, a self-sustaining state of degraded throughput and high latency that persists even after the initia...
Aleksey Charapko, Murat Demirbas, Matt Broadstone et al.· International Conference on...· 1 citation
Two methodology contributions are presented: a declarative-markdown harness with a small mutation surface, and an auto-research loop in which failure-mode analysis on completed experiments proposes new hypotheses, optionally human-reviewed, that progress through the same experiment workflow.
The results show that agents that build and maintain their own tool libraries, a key element of self-evolving agents, can make industrial LLM systems faster, more reliable, and easier to operate.
Kalle Kujanpää, Ning Liu, S. Alam et al.· arXiv.org· 3 citations
A stack organization and open research agenda around context hierarchy, protected effects, and metrics for useful work per verified action rather than only tokens per second is developed.
DDBench is introduced, a code-repair benchmark of 60 historical bugs mined from 13 open-source distributed systems, partitioned into three difficulty tiers, isolating the effect of debugging context from model capability.
Yi-Bo Yan, Huijuan Wang, Jun-Zhou He et al.· 0 citations
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