This page shows the most relevant public items for AI Engineering, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Paper • Feb 28, 2026 • arXiv • Rui Li, Zeyu Zhang, Xiaohe Bo, Quanyu Dai, Chaozhuo Li, Feng Wen, Xu Chen
Scaling multi-agent swarms using static, centralized orchestrators frequently leads to communication bottlenecks and single points of failure. This paper approaches agentic coordination through the...
Paper • Mar 2, 2026 • arXiv • Anonymous
Extracting structured event arguments from massive, unstructured document repositories is highly error-prone using single-pass LLMs. This paper proposes a collaborative multi-agent architecture fea...
Paper • Mar 4, 2026 • arXiv • G. Madan Mohan, Veena Kiran Nambiar, Kiranmayee Janardhan
As autonomous systems proliferate, standard capability benchmarks fail to evaluate the nuanced behavioral governance required for enterprise deployment. This research introduces Design Behaviour Co...
Paper • Mar 4, 2026 • arXiv • Jiawei Chen, Tianzhuo Yang, Guoxi Zhang, Jiaming Ji, Yaodong Yang, Juntao Dai
Aligning large language models to individual user values without compromising the core safety parameters of the foundation model is notoriously difficult. This paper introduces VISA, a shielded ada...
Paper • Mar 4, 2026 • arXiv • Ratna Kandala, Niva Manchanda, Akshata Kishore Moharir, Ananth Kandala
Detecting deceptive or manipulative intent across long-term interactions is a major blind spot for standard stateless LLMs. The authors introduce EchoGuard, an agentic framework that utilizes a per...
Paper • Feb 7, 2026 • arXiv • Xingliang Hou, Yuyan Liu, Qi Sun, Haoxiu Wang, Hao Hu, Shaoyi Du, Zhiqiang Tian
IGMiRAG introduces a cognitive-inspired retrieval framework that simulates intuition-driven reasoning over hierarchical knowledge graphs. The system constructs a heterogeneous hypergraph to represe...
Paper • Feb 28, 2026 • arXiv • Anonymous
Recent advancements in agentic reasoning rely heavily on self-verification loops, where models constantly double-check their own logic. However, this often leads to excessive computational waste an...
Blog • Dec 22, 2025 • The New Stack • Richard MacManus
This article analyzes key AI engineering trends in 2025, highlighting the rise of vibe coding alongside agentic AI systems. It explains how developers are shifting from writing code to orchestratin...
Blog • Dec 22, 2025 • Latent Space • Swyx
This article analyzes how AI agents are reshaping the software industry. It explores the shift from traditional applications toward autonomous systems capable of planning and executing tasks. The a...
Blog • Nov 2, 2025 • Latent Space • Swyx, Alessio Fanelli
This article explores the emerging technology stack required to build AI agents. It analyzes infrastructure components such as orchestration frameworks, evaluation systems, and tool integrations. T...
Blog • Dec 30, 2025 • OpenAI Developers • OpenAI
This developer-focused post summarizes the major platform changes enabling production-grade AI systems in 2025. It highlights new APIs, models, and tooling designed to support autonomous agents and...
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