This page shows the most relevant public items for Agentic AI, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Book • Oct 21, 2025 • IT Revolution • Gene Kim, Steve Yegge
This flagship book defines the vibe coding paradigm, where developers shift from writing syntax to expressing intent through AI systems. It explains how GenAI, chat interfaces, and agents enable de...
Paper • Feb 21, 2026 • arXiv • Albert Q. Jiang, Wenda Li, Kuhu Syal
Automated theorem proving requires a blend of creative intuition and rigorous logical deduction which eludes pure deep learning models. We propose a framework that marries the creative search capab...
Paper • Nov 18, 2025 • arXiv • Ling Chen, David Wu, Yong Zhang
The migration of legacy codebases (e.g., COBOL, Fortran) to modern architectures is a notoriously slow, error-prone, and expensive human endeavor. We introduce 'AutoMigrate,' a persistent, multi-ag...
Blog • Jul 3, 2025 • Medium • Dr. Anya Petrova
The prevailing safety narrative in Agentic AI has been 'Human in the Loop' (HITL)—the idea that humans will always review an agent's work before execution. Dr. Petrova argues that in 2025, economic...
Blog • Jun 8, 2025 • Medium • David T. Sterling
For twenty years, APIs have been designed with human developers in mind, prioritizing readable documentation, intuitive REST structures, and predictable error codes. In 2025, the primary consumer o...
Blog • Aug 8, 2025 • Medium • Barr Moses
The biggest bottleneck for enterprise Agentic AI isn't model reasoning or GPU limits; it's the catastrophic state of corporate data pipelines. Barr Moses argues that while simple chatbots can hallu...
Blog • May 15, 2025 • Medium • David T. Sterling
The framework wars have settled, and enterprises are left with three dominant choices for building Agentic AI. Sterling provides a brutal, no-nonsense evaluation of LangChain's LangGraph, Microsoft...
Paper • Apr 18, 2025 • arXiv • Maciej Besta, Nils Blach, Torsten Hoefler
While Chain-of-Thought and Tree-of-Thoughts prompting greatly enhance LLM reasoning, they strictly enforce linear or hierarchical cognitive paths. We introduce Graph of Thoughts (GoT), a novel cogn...
Paper • Sep 10, 2025 • arXiv • Yao Mu, Tianyu Zheng, Percy Liang, Dan Hendrycks
As multi-agent swarms are deployed in open-ended web environments, standard static benchmarks fail to capture their vulnerability to dynamic threats and deceptive actors. We introduce AgentBench-20...
Paper • Sep 14, 2025 • arXiv • Michael C. Brooks, Anita Desai, Francis Nguyen
As Agentic AI systems assume more responsibility in high-stakes domains, calibrating human trust remains a critical challenge. Under-trust leads to inefficient micromanagement, while over-trust res...
Blog • Oct 12, 2025 • Medium • Arjun Patel
As companies move from deploying single chatbots to orchestrating thousands of autonomous agents, traditional ML Ops is breaking down. Patel argues that Agentic AI must be managed using classic Dev...
Paper • Jul 15, 2025 • arXiv • Kevin Zhu, Lara Croft, Julian Bao
Evaluating the long-horizon planning and adaptability of Agentic AI in the real world is fraught with safety and cost limitations. We establish Minecraft as the premier sandbox for open-ended agent...
Paper • Aug 8, 2025 • arXiv • Jian Lu, Percy Liang, Chelsea Finn
While scaling laws for single-model LLMs are well established, the relationship between the number of collaborating agents and overall system performance remains poorly understood. This paper inves...
Blog • Nov 12, 2025 • Medium • Alex Rozdolskyi
In an attempt to avoid the anxiety of a performance review, software engineer Alex Rozdolskyi fine-tuned an Agentic AI on his company's HR policies, his GitHub commit history, and a massive dataset...
Blog • Jul 30, 2025 • Medium • Dr. Anya Petrova
As AI models transition from passive text generators to autonomous actors, human users must undergo a psychological shift from 'programmers' to 'managers.' Dr. Petrova explores the cognitive fricti...
Paper • Dec 5, 2025 • arXiv • Alessandro V. Rossi, Elena M. K., Yong Lin
The delegation of high-stakes financial and infrastructural tasks to Agentic AI requires robust mechanisms for verifying agent behavior without exposing sensitive underlying data. This paper propos...
Blog • Oct 18, 2025 • Medium • Thomas Q. Reid
Project management software has long relied on humans to manually update tickets, move columns, and report status. This provocative essay argues that Agentic AI is actively dismantling this paradig...
Paper • Nov 5, 2025 • arXiv • Chen Wei, Marcus T. Holden, Elara Vance
The rapid escalation of automated cyber attacks has outpaced human response times, necessitating a shift toward autonomous defense mechanisms. This paper introduces an Agentic AI framework for cont...
Paper • Nov 20, 2025 • arXiv • Dr. Yannick L., Sophia M., Wei C.
As Agentic AI swarms scale to thousands of interacting nodes driven by frontier language models, unexpected macro-level dynamics arise. We deploy a multi-agent simulation simulating a digital econo...
Paper • Mar 21, 2025 • arXiv • Albert Q. Jiang, Wenda Li, Szymon Tworkowski, Kuhu Syal
Automated theorem proving requires a blend of creative intuition and rigorous logical deduction, a combination that eludes pure deep learning models. We propose a Neurosymbolic Agentic AI framework...
It ranks public content for Agentic AI using recent discussion, review, and engagement signals so you can triage faster. This guidance is specific to Agentic AI 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 Agentic AI topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
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