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.
Blog • Sep 5, 2025 • Medium • Marcus Sterling
The financial sector is undergoing a rapid transition from predictive analytics to autonomous execution. This article explores the deployment of Agentic AI in FinTech, detailing how 'Autonomous CFO...
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...
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...
Blog • Aug 14, 2025 • Medium • Sarah J. Jenkins
When our traditional B2B SaaS product hit a growth wall, we realized our users didn't want a better dashboard; they wanted the work done for them. This post chronicles our startup's chaotic but suc...
Blog • Nov 2, 2025 • Medium • Tech Analyst Team
With the release of advanced neural engines in consumer hardware, the reliance on cloud APIs for agentic workflows is shifting. This post explores the rise of the 'Local Agent'—autonomous AI system...
Blog • Aug 30, 2025 • Medium • Shanding P. G
Agentic workflows are emerging as the backbone of how Large Language Models function in practice, moving beyond simple generation to proactive task management. This post outlines the strategic, rep...
Blog • Feb 9, 2026 • Medium • Jonathan Fulton
From OpenClaw to Google's Auto Browse, the 'Agentic Era' has officially arrived with a 327% surge in consumer adoption this month. We analyze why personal agents are finally sticking—shifting from ...
Blog • Feb 14, 2026 • Medium • Rodrigo Almeida
By mid-February 2026, the initial hype surrounding autonomous agents is meeting the harsh reality of corporate P&L. Many organizations are finding that while agents can 'do' things, they struggle t...
Blog • Feb 19, 2026 • Medium • Claudio Lupi
The era of 'renting software' is being replaced by 'owning intelligence.' This post argues that as autonomous agents gain the ability to navigate any UI and interact directly with databases via API...
Paper • Jan 27, 2026 • arxiv.org • Débora Souza, Patrícia Machado
LLM-based agents are becoming central to software engineering tasks, yet evaluating them remains fragmented and largely model-centric. Existing studies overlook how architectural components, such a...
Paper • Jan 27, 2026 • arxiv.org • Yuheng Tang, Kaijie Zhu, Bonan Ruan, Chuqi Zhang, Michael Yang, Hongwei Li, Suyue Guo, Tianneng Shi, Zekun Li, Christopher Kruegel, Giovanni Vigna, Dawn Song, William Yang Wang, Lun Wang, Yangruibo Ding, Zhenkai Liang, Wenbo Guo
Even though demonstrating extraordinary capabilities in code generation and software issue resolving, AI agents' capabilities in the full software DevOps cycle are still unknown. Different from pur...
Paper • Jan 27, 2026 • arxiv.org • Shamse Tasnim Cynthia, Joy Krishan Das, Banani Roy
Autonomous AI agents are transforming software development and redefining how developers collaborate with AI. Prior research shows that the adoption and use of AI-powered tools differ between core ...
Paper • Jan 28, 2026 • arxiv.org • Kazuma Yamasaki, Joseph Ayobami Joshua, Tasha Settewong, Mahmoud Alfadel, Kazumasa Shimari, Kenichi Matsumoto
As software engineering moves toward SE3.0, AI agents are increasingly used to carry out development tasks and contribute changes to software projects. It is therefore important to understand the e...
Paper • Jan 28, 2026 • arxiv.org • Ling Tang, Jilin Mei, Dongrui Liu, Chen Qian, Dawei Cheng, Jing Shao, Xia Hu
Large language model-powered multi-agent systems have emerged as powerful tools for simulating complex human-like systems. The interactions within these systems often lead to extreme events whose o...
Paper • Jan 28, 2026 • arxiv.org • Jonathan Rystrøm, Chris Schmitz, Karolina Korgul, Jan Batzner, Chris Russell
Deploying Large Language Model-based agents (LLM agents) in the public sector requires assuring that they meet the stringent legal, procedural, and structural requirements of public-sector institut...
Paper • Jan 28, 2026 • arxiv.org • S M Mahedy Hasan, Md Fazle Rabbi, Minhaz Zibran
We present the first empirical study of AI-generated pull requests that are 'silent,' meaning no comments or discussions accompany them. This absence of any comments or discussions associated with ...
Paper • Jan 29, 2026 • arxiv.org • Haoming Huang, Pongchai Jaisri, Shota Shimizu, Lingfeng Chen, Sota Nakashima, Gema Rodríguez-Pérez
Large Language Model (LLM) Agents are advancing quickly, with the increasing leveraging of LLM Agents to assist in development tasks such as code generation. While LLM Agents accelerate code genera...
Paper • Jan 29, 2026 • arxiv.org • Johannes Kirmayr, Lukas Stappen, Elisabeth André
Existing benchmarks for Large Language Model (LLM) agents focus on task completion under idealistic settings but overlook reliability in real-world, user-facing applications. In domains, such as in...
Paper • Jan 29, 2026 • arxiv.org • Evelien Riddell, James Riddell, Gengyi Sun, Michał Antkiewicz, Krzysztof Czarnecki
Root cause analysis (RCA) is essential for diagnosing failures within complex software systems to ensure system reliability. The highly distributed and interdependent nature of modern cloud-based s...
Paper • Jan 29, 2026 • arxiv.org • Sahil Garg, Brad Cheezum, Sridhar Dutta, Vishal Agarwal
Judge agents are fundamental to agentic AI frameworks: they provide automated evaluation, and enable iterative self-refinement of reasoning processes. We introduce JAF: Judge Agent Forest, a framew...
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.
Use the linked entities section to jump to labs, companies, and experts connected to this topic and explore their timelines. 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.
Yes. Use the follow button on this page to subscribe and track new high-signal activity. 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.