#ai-tools
12 articles exploring ai-tools. Expert insights and analysis from our editorial team.
Articles
Claude Code Plugins: Anthropic's Official Plugin Ecosystem Explained
Anthropic launched an official plugin directory for Claude Code in early 2026, featuring 72+ plugins across 24 categories. These plugins extend Claude's capabilities through custom commands, agents, MCP servers, and skills—transforming it from a coding assistant into a multi-purpose AI agent platform.
RentAHuman: The AI Platform Where Bots Hire Humans
RentAHuman is a platform that enables AI agents to hire humans for physical-world tasks they cannot complete, flipping the traditional gig economy model and raising questions about the future of human-AI collaboration.
Full-Body MRIs and AI: The Controversy Over Preventive Cancer Screening
Full-body MRI screening with AI analysis detects cancer in 5-6% of scans, but medical experts question whether preventive screening's benefits justify costs, false positives, and potential overdiagnosis.
Prompt Engineering Patterns 2026: What Actually Works Now
Prompt engineering in 2026 prioritizes structured reasoning through chain-of-thought techniques, strategic use of XML tags, and model-specific optimization. Research shows that explicit reasoning instructions improve accuracy by up to 61% over zero-shot prompting, while automated prompt optimization (OPRO) can boost performance by 8% on mathematical reasoning tasks.
Chrome DevTools MCP: AI Agents That Can Actually Debug Your Frontend
Chrome DevTools MCP is an open-source Model Context Protocol server that gives AI coding agents like Claude, Gemini, and Copilot direct access to browser DevTools, enabling automated frontend debugging, performance analysis, and network inspection.
Rowboat: The Open-Source AI Coworker That Actually Remembers
Rowboat is an open-source AI coworker with persistent memory that builds a knowledge graph from your work data. Unlike proprietary alternatives, it stores everything locally as plain Markdown, giving you full control over your AI assistant while maintaining long-term context across meetings, emails, and projects.
Off Grid AI: Running LLMs Completely Offline on Your Phone
A new wave of open-source tools enables large language models, image generation, and vision AI to run entirely offline on mobile devices, fundamentally changing privacy, accessibility, and cost dynamics for AI users worldwide.
GitHub Models: Free LLM Access for Testing and Prototyping
GitHub Models provides free, rate-limited access to leading AI models including GPT-4o, Llama 3.3, and DeepSeek directly within GitHub, enabling developers to test prompts and prototype AI applications without upfront API costs.
Natural Language to SQL: AI Is Finally Making Databases Accessible
Text-to-SQL models have crossed a threshold where non-technical users can query databases conversationally, with specialized models like SQLCoder-70b achieving 96% accuracy on standard benchmarks and outperforming general-purpose LLMs like GPT-4.
Off Grid AI: Running LLMs Completely Offline on Your Phone
A new wave of open-source tools enables large language models, image generation, and vision AI to run entirely offline on mobile devices, fundamentally changing privacy, accessibility, and cost dynamics for AI users worldwide.
The End of Stack Overflow? How AI Is Reshaping Developer Knowledge
Stack Overflow traffic has plummeted since ChatGPT's launch. We examine the numbers, what developers are doing instead, and what this means for the future of technical knowledge sharing.
Building MCP Servers: Extending Claude's Capabilities with the Model Context Protocol
A comprehensive guide to building Model Context Protocol (MCP) servers that extend Claude's capabilities. Learn the architecture, implementation patterns, and best practices for creating powerful AI integrations.