#Agentic AI
29 related articles

MLAI Digital Launches 9 Security Agents: MCP Server Safeguards the Full Lifecycle of Agentic AI
MLAI Digital launches Security MCP Server with nine built-in specialized security agents covering vulnerability discovery, attack simulation, prompt injection detection, API and infrastructure assessment, and accelerated remediation—embedding security validation across the full Agentic AI lifecycle from development to production.

Five Cloud Computing Trends for 2027: Agentic AI and AI-Optimized Infrastructure Lead the Way
Five cloud computing trends for 2027: Agentic AI autonomous operations, AI-optimized infrastructure, hybrid cloud and data sovereignty, platform engineering, and FinOps.

How to Become an Agentic AI Engineer: A Hands-On Roadmap from Practitioners
A practitioner-derived roadmap to becoming an Agentic AI engineer: skill differences from traditional AI engineers, four stages covering LLM fundamentals, the agent core loop, hands-on projects, evaluation and observability, plus learning resources.

AI Application Implementation Tutorial: Evolution and Practice from Copilot to Agentic AI
Bilibili AI application tutorial outlines AI's three-stage evolution from ChatGPT to Agentic AI, analyzing multi-agent collaboration and autonomous decision-making frameworks, covering JManners, Agent Scope, ReAct, MCP, and other popular tech stacks to help developers master AI architecture skills that won't be outdated.

ResearchPilot in Practice: My AI Agent Crashed 5 Times After Going Live — Here's My Reliability Checklist
An AI Agent ran fine locally but crashed five times after going live. The ResearchPilot developer reviews tool call failures, empty answers, token limits, and security issues in a Groq + Vercel deployment, distilling a practical checklist for making AI Agents truly reliable.

Are Scaling Laws Dead? Agentic AI Pushes the Bottleneck to Inference Compute
A Reddit discussion argues that with Agentic AI, the AI bottleneck is shifting from training Scaling Laws to inference-time compute. This article analyzes the causes, impact, and controversies.

What Makes Up an Agentic AI System? Five Core Components

RideFix Bro: A RAG-Powered Motorcycle Repair AI That Actually Reads 500-Page Manuals
RideFix Bro is an open-source RAG + Agentic AI motorcycle repair assistant that reads 500-page manuals and searches the web, built with AutoGen, Gemini, and Qdrant.

Bounded Autonomy and Verifiable Safety: The BRaVeS Governance Framework for Agentic AI in High-Stakes Scenarios
The BRaVeS framework addresses epistemic drift in agentic AI via invariant anchors, MoDA-style depth-aware access, SMARtAutonomy tiering, and Lyapunov-bounded formal safety proofs.

AegisFlow: Multi-Agent Framework Enables Self-Healing Data Pipelines, Reduces MTTR by 98%
AegisFlow is a multi-agent LLM framework for self-healing data pipelines. Using Watchdog/Repair agents and Parallel Shadow Patching, it cuts MTTR by 98.1% with a 92% patch success rate.

From Copilot to Agentic AI: A Practical Guide to Enterprise Autonomous Agent Development
From Copilot to Agentic AI: explore multi-agent collaboration, ReAct autonomous reasoning, and Agent Skills — plus a practical Spring AI Alibaba course breakdown.

BaseCamp: Automating the Decision Layer of DNA Sequencing Data Pipelines with Agentic AI
BaseCamp is an agentic AI framework that automates the decision layer of DNA sequencing pipelines using six specialized local AI agents, preserving tool reproducibility while enabling auditable, consistent scientific workflows.

Silent Failures in Agentic Tool Interactions: A ToolUniverse Audit Study
New arXiv research exposes "silent failures" in agentic tool interactions — calls that look successful but quietly lose data. An audit of 15 tools found 91 failures, mostly in the API and wrapper layers. A contextual reliability framework is proposed.

How to Become an Agentic AI Job Candidate Through Real-World Projects
Want to land an Agentic AI role? Learn which real-world project types — multi-agent systems, automated workflows, and memory-enabled agents — will make your portfolio stand out.
Product ReviewsZor Full-Stack AI Engineer: Build Complete Production-Ready Apps with a Single Prompt
Deep dive into Zor, the full-stack AI engineer platform that builds complete apps via natural language. Covers auth, databases, Stripe payments, AI image generation, and comparisons with Cursor and Lovable.
Product ReviewsV0 Agentic AI Hands-On: Building a Full-Stack App with Payments in a Single Prompt
Hands-on review of V0's new Agentic AI mode: building a real-time collaborative canvas with Stripe payments. Compared with Bolt and Loveable, plus the optimal V0 + Claude Code workflow.
Industry InsightsReplit Partners with Visa: How AI Agentic Payments Are Reshaping the Future of Transactions
Replit partners with Visa to explore AI Agentic Payments. Learn how AI agents can autonomously complete payments and what this means for developers and fintech.
Deep DivesNVIDIA Vera Rubin Platform Deep Dive: Solving the Scalability Challenge of Agentic AI Inference
Deep dive into NVIDIA's Vera Rubin platform Pod-level architecture and next-gen NVLink, revealing how it solves Agentic AI inference scalability bottlenecks and the industry shift from training-first to inference-first.
Tech FrontiersCodex CLI 0.128.0 Released: /goal Command Enables Automatic Looping Until Objective is Complete
OpenAI Codex CLI 0.128.0 introduces the /goal command, enabling autonomous looping until objectives are met or token budgets are exhausted. Analysis of its Ralph Loop implementation and safety controls.
Deep DivesThe Agentic AI Explosion: A Complete Guide to the Paradigm Shift from Generative to Agentic AI in 2026
In 2026, the AI industry shifts from generative to Agentic AI. Deep dive into GPT-5.5 agent capabilities, Claude's autonomous learning, Physical AI deployment, DeepSeek V4, inference optimization, and the global AI competition landscape.