Claude Articles
Browse 542 articles about Claude.
AI Cybersecurity in 2026: How Claude Mythos and GPT 5.5 Are Finding Zero-Day Exploits
AI models are finding bugs that survived decades of human audits in days. Here's what the bugmageddon wave means for security teams and AI builders.
Anthropic vs OpenAI Business Adoption: What the Data Says About Enterprise AI
Anthropic surpassed OpenAI in business adoption for the first time in April 2026. Here's what the shift means for enterprise AI strategy and tool selection.
Claude Cloud Routines vs Scheduled Tasks: Which Should You Use?
Claude's cloud routines run on Anthropic's servers 24/7 while scheduled tasks need your machine on. Here's how to choose the right deployment method.
Claude for Legal Teams: How Anthropic's MCP Connectors Work for Law Firms
Anthropic launched Claude plugins for legal workflows including compliance checks, contract review, and DocuSign integration. Here's how to use them.
Claude for Small Business: Pre-Built Agents for Finance, HR, Sales, and Ops
Anthropic's small business plugin pack includes 31 skills for payroll, invoicing, and CRM. Here's what's inside and how to set it up in Claude Co-work.
Gemini 3.2 Flash vs Claude Opus 4.7: What to Expect from Google I/O
Gemini 3.2 Flash is expected to deliver 92% of GPT 5.5's coding capability at 15-20x lower cost. Here's how it stacks up against Claude for agentic work.
Mega Skills vs Modular Skills in Claude Code: Why Architecture Matters
Building one giant skill for end-to-end workflows kills reusability and quality. Here's the modular skill system pattern that scales across multiple pipelines.
How to Build Modular Claude Skills That Chain Into Skill Systems
Isolated skills and mega-skills both fail at scale. Learn the orchestrator-plus-child-skills pattern that makes Claude OS compound in value over time.
What Is Project Glasswing? Anthropic's Controlled Cybersecurity AI Rollout Explained
Project Glasswing gives trusted organizations access to Claude Mythos for security research. Here's how it works and what it means for enterprise AI security.
How to Build an AI Agent with Persistent Memory Using Claude and Milvus
Learn how to give Claude agents multi-layered memory using Milvus vector search and file system tools for retrieval from complex PDF documents.
What Is the AI Coding War? OpenAI Codex vs Claude Code and What It Means for Builders
OpenAI offered free Codex to Claude Code users. Anthropic responded with 50% more usage. Here's what the AI coding war means for your workflow.
How to Manage Multiple AI Agents Without Terminal Chaos: Claude Code Agent View
Claude Code's new Agent View lets you manage multiple AI agents from one dashboard. Learn how to set it up, sort sessions, and pair it with your agentic OS.
Claude Opus 4.7 vs GPT 5.5: Which Model Should You Use for Agentic Workflows?
Claude Opus 4.7 and GPT 5.5 are both top-tier models for agentic work. Compare reasoning, cost, speed, and real-world performance to pick the right one.
What Is Recursive Self-Improvement in AI? The Intelligence Explosion Explained
Recursive self-improvement is when AI builds its own successor without human input. Learn what it means, why Anthropic's co-founder says it's coming by 2028.
How to Use Claude Code's /bg Command to Run Background Agent Sessions
Claude Code's /bg command moves active sessions into Agent View for background processing. Learn how to use it to run parallel agents across projects.
What Is the /goal Command in Claude Code? Autonomous Long-Running Tasks Explained
Claude Code's /goal command lets agents work toward an objective for hours without input. Learn how it works, when to use it, and how to prompt it well.
How to Use Claude for Microsoft Word: Cross-File Context and Web Search
Claude's Word add-in lets you highlight text, query across Excel and PowerPoint files, and search the web without leaving your document. Here's how.
What Is Claude Code Agent View? How to Manage Multiple AI Agents at Once
Claude Code's new Agent View lets you monitor and control multiple coding sessions from one terminal tab. Here's how it works and why it matters.
AI Auditing With vs. Without NLAs: Catching Misaligned Claude Haiku 3.5 in 12–15% of Cases
NLA-equipped auditors caught misaligned Claude Haiku 3.5's hidden motivation 12–15% of the time vs. under 3% without. What the gap means for AI oversight.
Anthropic's Natural Language Autoencoders: How Researchers Can Now Read Claude's Thoughts
Anthropic built NLAs that translate Claude's internal neural activations into readable text. Learn what they found and why it matters for AI safety.