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.
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...
Paper • Feb 5, 2026 • arXiv • Minghao Du, Yifan Sun, Zeyu Li
A-RAG proposes an agentic retrieval framework that exposes retrieval tools directly to large language models. Rather than treating retrieval as a static preprocessing step, the architecture allows ...
Paper • Feb 11, 2026 • arXiv • Pengcheng Zhou, Haochen Li, Zhiqiang Nie, JiaLe Chen, Qing Gong, Weizhen Zhang, Chun Yu
This paper introduces CogitoRAG, a cognitive-inspired retrieval-augmented generation framework designed to mimic human episodic memory and semantic gist formation. The system constructs a multi-dim...
Blog • Feb 20, 2026 • Medium • ZeroDay_Scribe
As Agentic AI systems gain persistent memory and direct API access, traditional prompt injection defenses are no longer sufficient. This highly technical post introduces the concept of 'State Poiso...
Paper • Feb 28, 2026 • arXiv • Diego Gosmar, Deborah A. Dahl
Defending autonomous systems from prompt injection remains a critical security hurdle. This paper introduces a multi-layered defense architecture utilizing a dedicated 'Security Agent' equipped wit...
Blog • Feb 8, 2026 • Medium • Mark S. Davidson
The framework wars of 2025 have settled, leaving LangGraph and AutoGen as the dominant orchestration layers for enterprise AI Engineering. Davidson provides a brutal, battle-tested comparison of th...
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...
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 • Oct 18, 2025 • Chip Huyen Blog • Chip Huyen
This article focuses on the engineering challenges of building reliable AI applications. It explores issues such as evaluation pipelines, monitoring strategies, and system observability. The author...
Blog • Nov 20, 2025 • Language Models Newsletter • Chip Huyen
This article explores the engineering challenges involved in designing production AI systems. It discusses topics such as system architecture, monitoring, data pipelines, and evaluation. The author...
Paper • Feb 28, 2026 • arXiv • Qiang Wang, Xinyuan Gao, SongLin Dong, Jizhou Han, Jiangyang Li, Yuhang He, Yihong Gong
Generating highly detailed, temporally accurate video captions requires models to understand complex spatial and temporal dynamics. VDC-Agent introduces an autonomous framework where the captioning...
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...
Paper • Jan 19, 2026 • arxiv.org • Chen et al.
Despite recent advancements in Large Language Models (LLMs), complex Software Engineering (SE) tasks require more collaborative and specialized approaches. This concept paper systematically reviews...
Paper • Feb 14, 2026 • arXiv • Rui Yu, Tianyi Wang, Ruixia Liu, Yinglong Wang
PT-RAG proposes a structure-aware retrieval framework designed specifically for long academic documents. Traditional RAG pipelines flatten documents into chunks, which destroys the natural hierarch...
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...
Paper • Feb 28, 2026 • arXiv • Jiangping Huang, Wenguang Ye, Weisong Sun, Jian Zhang, Mingyue Zhang, Yang Liu
While LLMs excel at generating initial code snippets, they struggle immensely with resolving complex runtime errors. TraceCoder introduces a multi-agent framework that utilizes actual execution tra...
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...
Paper • Nov 20, 2025 • arXiv • Hao Hu, Yifan Feng, Ruoxue Li, Rundong Xue
Cog-RAG introduces a cognitive-inspired dual-hypergraph architecture designed to capture both thematic and entity-level relationships within large document collections. The framework constructs two...
Blog • Dec 11, 2025 • Towards Data Science • Keshav Dhandhania
This article explores orchestration techniques used to coordinate AI agents and tools in complex workflows. It explains how planners, controllers, and execution layers interact within agent archite...
Paper • Feb 28, 2026 • arXiv • Ziheng Geng, Jiachen Liu, Ran Cao
Predicting complex human economic behavior is notoriously difficult using traditional statistical models. InsurAgent leverages LLM-empowered agents to simulate thousands of distinct individual pers...
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