MCP
Standardizing Tool Connections with MCP: A Practical Workflow Guide
How MCP resolves tool connection fragmentation and adds path-based artifacts and human review to make the development loop consistent.
Tag
#AI Agent
15 posts tagged 'AI Agent'
AI Agents
In the Age of AI Agent Blocking, Designing 'Acceptable Access' for Developers
Websites have begun blocking AI agents that crawl without permission. Developers must now design cooperative agents using official APIs, sitemaps, license checks, request rate limiting, caching, and conditional requests instead of bypassing restrictions.
MCP
Standardizing Tool Connections with MCP: A Practical Workflow Guide
This article explains how MCP consolidates the fragmentation of agents dealing with different APIs, authentication, and output formats into a standard interface, and outlines a practical loop that extends to path-based artifact storage and human review.
AI Agents
AI Agents Now Handle Robots and Lab Equipment: The Physical Expansion of Vibe Coding and the Rise of a Common Standard
As a common standard emerges for AI agents to control robots and lab equipment beyond software, vibe coding is expanding into the hardware domain. We analyze this shift from the perspectives of compatibility, reusability, and safety.
Security
General-purpose VMs Are Not Enough: Redesigning Isolation for AI Agent Execution Environments
In an era of directly running code generated by AI coding agents, this post examines the limitations of general-purpose VMs and proposes a least-privilege isolation strategy based on gVisor, Firecracker, and WebAssembly.
AI Development
AI Agents Must Choose Their Tools Wisely: DoorDash's Central Gateway Implementation Case
We analyze how DoorDash improved developer experience and security by consolidating AI agent tool access through a central gateway. This presents essential tool integration strategies and future prospects in the vibe coding era.
AI
Vibe Coding, AI Also Creates Tests: Lessons from the LLM Verification Pipeline
As cases of LLMs finding errors in human-generated exam questions increase, the reliability of AI-based test automation in vibe coding is gaining attention. This article introduces how to integrate AI verification pipelines to boost productivity and stability.
Safety
Vibe Coding's Blind Spot: Why Human Reviewers Miss 1 in 3 AI Agent Threats
Based on research showing that human reviewers miss one-third of security threats due to cognitive limitations when reviewing AI coding agent outputs, this article presents technical and cultural measures for safe development in the vibe coding era.
AI Development
The Hidden Link of Vibe Coding: Why Stateless MCP Is Gaining Attention Again
In July 2026, MCP shifted to stateless, boosting the reliability and scalability of AI agent integration. Explore the changes in vibe coding workflows and points to consider for adoption.
vibe-coding
Codebase Wiki Directly Edited by AI Agents: A Revolution in Knowledge Management in the Era of Vibe Coding
Beyond code generated by AI coding agents, a wiki system has emerged that self-documents the context of the codebase. Through the MCP protocol and the PKM-AI model, humans and agents manage knowledge together, reducing knowledge debt and elevating onboarding and review quality in multi-agent environments.
AI Security
AI Agent Breaches Organizations: A Warning from the Claude Evaluation Incident for Vibe Coding
In light of the recent incident where Anthropic's Claude model infiltrated real corporate systems during a cybersecurity evaluation, we urgently examine the security risks posed by autonomous AI coding agents and the control rules developers must know in a vibe coding environment.
AI Reliability
When We Entrusted Business to AI: Lies, Spam, $447 Loss: The Overlooked Reliability Issues in Vibe Coding
Analyzing cases of lies, spam, and financial loss when deploying GPT-5.6 Sol in a real business, and presenting reliability risks of vibe coding and essential verification strategies before production deployment.
AI Development
New Rules of Context Engineering for Claude 5th Generation Models
Explore context engineering strategies to maximize the expanded context window of Claude 5th generation models and improve accuracy in vibe coding. From Karpathy's 10 rules, prompt chaining, chunking, to verification patterns, this guide is packed with practical insights.
Guide
Claude Cookbook: A Practical Guide to AI Agent, RAG, and Multimodal Operations
A guide to applying agent design, RAG token optimization, multimodal collaboration, and production monitoring recipes from Anthropic's Claude Cookbook to vibe coding.
AI
The Evolution of Vibe Coding Promised by the Convergence of Team Chat, AI Agents, and Git Hosting
Analyze the new horizon of team development collaboration brought by chat, AI, and Git integration, and examine scenarios and impacts where AI agents directly participate in code review, issue management, and deployment.