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SWE-Serve: Benchmarking Agentic Engineering For Production Inference Serving

Paper recorded by Signals 4 on 2026-09-22 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-22 on arXiv · recorded by Signals 4 on 2026-09-23

Category: cs.AI · 人工智能 · first seen 2026-09-23

Abstract

We introduce SWE-Serve, a benchmark for evaluating agents on production inference engineering tasks. Implementing an inference feature can require coordinating multiple changes across the serving stack, including model support, runtime execution, and public APIs. Existing benchmarks provide limited coverage of production inference engineering: repository-level software engineering benchmarks do no

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#3 most recent of 360 cs.AI papers we have recorded · ↑ newer: CliffCompaction: Cost-Efficient Compaction for Long-Horizon Coding Age · ↓ older: A2M: Trace-Optimized Agent Hijacking in the MCP Ecosystem
Cite this page: SWE-Serve: Benchmarking Agentic Engineering For Production Inference Serving: the #3 most recent of 360 cs.AI papers we have recorded (as of 2026-09-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/swe-serve-benchmarking-agentic-engineering-for-production-inference-serving.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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