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.
Paper • Apr 13, 2026 • arXiv • Jun He, Deying Yu
As AI agents are increasingly granted the autonomy to mutate cloud infrastructure, the risk of catastrophic, unauthorized execution grows exponentially. This paper introduces OpenKedge, a protocol ...
Blog • Apr 2, 2026 • Morgan Lewis • Doneld G. Shelkey
Morgan Lewis explains the shift from reactive generative AI to agentic systems that can set objectives, retrieve information, decide, act, and iterate. The core problem is legal and operational: on...
Blog • Mar 11, 2026 • OpenAI • Thomas Shadwell, Adrian Spânu
OpenAI frames prompt injection not as simple string-matching but as an evolving social-engineering-like threat that targets tool-using agents. The post defines the problem of malicious external con...
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 • Feb 19, 2026 • Medium • Lucia Adams
The era of 'vibing' through natural language prompts is hitting a complexity wall. While Andrej Karpathy popularized the term in 2025, 2026 is seeing the rise of 'Agentic Engineering'—a more struct...
Blog • Feb 24, 2026 • Medium • Elena Rossi
We are finally moving past the era of 'Chatting with AI.' To unlock the true power of 2026 models, you must stop treating them as tools and start treating them as executives. This post details how ...
Blog • Feb 12, 2026 • Stochastic Lifestyle • Christopher Rackauckas
There is a massive difference between 'bot spam' and 'expert acceleration.' This post explores how real engineers use agentic tools like Claude Code to storm repositories with successful PRs. Racka...
Blog • Apr 10, 2026 • Epsilla • Epsilla Team
This blog surveys the latest tools available for building and managing AI agents in April 2026. It highlights capabilities such as execution monitoring, resource control, and failure recovery. The ...
Blog • Apr 7, 2026 • ISACA • Richard Beck
This blog examines the security implications of agentic AI systems in enterprise environments. It highlights how autonomous agents introduce new risks beyond traditional application security models...
Blog • Apr 6, 2026 • Vybe • Vybe Team
This guide defines agentic AI as systems capable of autonomous goal execution through planning, tool use, and feedback loops. It contrasts agentic systems with traditional reactive AI and outlines ...
Blog • Apr 8, 2026 • JetBrains Blog • Aleksandra Aganezova, Jacob Lee
This blog explores how to build a custom coding agent using Deep Agents and the Agent Client Protocol (ACP). It addresses the fragmentation between IDE workflows and agent-based tooling, proposing ...
Other • Mar 31, 2026 • GitHub • instructkr
This project is a complete architectural overhaul of the Claude Code CLI, rewritten from the ground up in Rust following the high-profile source leak on March 31, 2026. It aims to solve the severe ...
Paper • Mar 11, 2026 • arXiv • Zhiwei Liu, Kay Liu, Jingdi Chen, Carlee Joe-Wong
This paper presents the first systematic and comprehensive survey of AI agent security, analyzing the design space, attack landscape, and defense mechanisms for autonomous systems. The researchers ...
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 • Mar 10, 2026 • arXiv • Md Nasir Uddin Shuvo, Md Aidul Islam, Md Mahade Hasan, Muhammad Waseem, Pekka Abrahamsson
This paper presents one of the first real-world experience reports of applying vibe coding in production environments. The authors analyze how LLM-based coding accelerates development while introdu...
Paper • Mar 6, 2026 • arXiv • Unknown
This paper proposes a schema-gated architecture that separates natural language reasoning from strict execution constraints in agentic AI systems. The framework allows large language models to gene...
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 ...
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...
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...
Blog • Mar 5, 2026 • Medium • Marcus Sterling
For the past year, web automation agents have relied heavily on parsing HTML DOM structures, making them notoriously brittle whenever a website updates its layout. The release of OpenClaw 3.0 this ...
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