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 • Oct 6, 2025 • OpenAI • OpenAI
This post introduces AgentKit, a toolkit designed to simplify the development and deployment of AI agents. The article explains how fragmented tooling previously made building agentic systems compl...
Book • Jan 7, 2025 • Amazon • Chip Huyen
As AI transitions from research labs to production environments, the focus has shifted from training models to building robust applications around them. Chip Huyen, a leading voice in ML systems, o...
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 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 • 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...
Book • Oct 15, 2023 • Amazon • Sinan Ozdemir
Designed for both developers and technical product managers, this guide offers a rapid, comprehensive onboarding to the world of large language models. Sinan Ozdemir breaks down the core components...
Book • Apr 1, 2025 • Amazon • Sebastian Raschka
This highly anticipated release takes readers on a deep, code-first journey into the inner workings of foundation models. Author Sebastian Raschka guides developers step-by-step through constructin...
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...
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 • Dec 5, 2025 • LangChain Blog • LangChain
This article examines practical workflow patterns used when building AI agents in production systems. It explains how agents coordinate tools, reasoning steps, and external APIs to perform complex ...
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...
Blog • Oct 2, 2025 • Lilian Weng Blog • Lilian Weng
This long-form technical article explores the design of autonomous agents built on top of large language models. It explains key architectural components such as planning modules, memory systems, t...
Book • Oct 22, 2024 • Amazon • Paul Iusztin, Maxime Labonne
Moving an LLM project from a messy Jupyter notebook into a robust production environment is the primary challenge for AI teams today. This handbook offers a comprehensive roadmap for designing, tra...
It ranks public content for AI Engineering using recent discussion, review, and engagement signals so you can triage faster. This guidance is specific to AI Engineering topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
Use weekly for fast-moving updates, monthly for stable trend confirmation, and all-time for evergreen references. This guidance is specific to AI Engineering topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
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