AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,429 papers
GRAML, a framework that combines graph evidence, vulnerability description generation, and multi-task training, is proposed, and practical guidance for building more reliable and secure software engineering systems with large language models is provided.
Large language models equipped with development environments have moved code generation toward repository-scale construction, yet building complete repositories remains difficult because interacting modules, interfaces, configurations, tests, and dependencies must work together. We introduce Code Primitives, agent-nati...
Multiphysics continuum models are powerful tools for studying electrochemical devices, enabling in silico reactor design and resolution of local pH, potential, and concentration fields that govern device performance but are difficult to measure experimentally. However, constructing such models requires substantial nume...
The evaluation of coding agents generally strives to be as realistic as possible. In our study, we collect 4,782 agent sessions of real software engineers in JetBrains IDEs, which we call Production Sessions. Since our subject is interactive agents, we study the sessions with at least three user messages (33% of the sa...
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Public R analysis source accompanying the manuscript “Serum Trace-Element Categories and Reported First-Degree Family History of Malignancy: An Exploratory Analysis of the SPES Cohort.” This release contains the original MAIN, P95 and malignancy-category analytical branches; referee-requested revision modules; classifi...
Disaggregated large language model serving introduces a recovery problem that spans request execution, remote key-value (KV) cache reuse, and service lifecycle management. A successful response does not by itself establish that the remote cache path has recovered. This report describes KVQuake, an external fault-inject...
TechLedger is a web application for discovering, researching, saving, and comparing software services. It addresses a practical problem in technology selection: information about capabilities, releases, and pricing is spread across vendor sites, and users must keep their own shortlist while reviewing it. The applicatio...
The rapid growth of e-commerce requires a deeper understanding of the differences in consumer responses to online transactions. This study examines whether consumer trust and online purchase decisions differ based on gender, age, monthly expenditure, and online shopping experience in smartphone purchases through e-comm...
OPERA-GC version 1.3.0 contains Python source code, configuration, bundled inputs, numerical results and method documentation for heterogeneous HST and Gaia globular-cluster proper-motion analysis. Product records retain catalogue selection, radial support, uncertainty and reference-frame definitions. The implementatio...
This record contains the technical note and complete reproducibility package for two linear-Gaussian pilot studies of the “blind set” in physical-state inference. The blind set is defined here as errors that are simultaneously not exposed by the inference system’s available ground-truth-free diagnostics and not covered...
Rapid urbanization has led to a continuous increase in the volume and variety of household waste. Currently, residential communities and campuses still rely on residents to dispose of waste themselves and on sanitation workers to manually sort it. Due to insufficient public awareness of waste classification, mixed disp...
Agent systems rent competence from a model one call at a time. We present Runesmith, an open-source runtime (Apache-2.0) in which models propose, a small deterministic kernel admits, and the runtime changes its own code only on evidence. In one iteration of its Kaizen loop, Runesmith chose a weakness from its own telem...
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
GPT-Lab
· gpt-lab.eu
Sep 23, 2026
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
GPT-Lab
· gpt-lab.eu
Sep 17, 2026
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
We’re launching agentic video understanding across our latest Gemini models for improved accuracy and lower costs and token usage.
In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.
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