Twelve practical applications of Google NotebookLM, from no-code RAG and workplace AI assistants to Deep Research reports, meeting analysis, and academic paper review. A complete guide to a free AI tool you can start using today.
Three supply chain attacks that hit in a single week in March 2026: the axios npm account takeover, LiteLLM PyPI malware, and Claude Code source code exposure. A breakdown of the common attack patterns and practical defenses.
A practical guide to four essential MCP servers that extend Claude Code's capabilities — Playwright, Firecrawl, Context7, and Supabase — covering installation and real-world prompts.
The way AI agents are built is shifting from framework-centric approaches to direct use of Claude Agent SDK. An analysis of the Old vs New architecture and the changing role of RAG.
The Honeycomb MCP Server GA release and Canvas AI bring observability data directly into AI tools, enabling automated debugging workflows from trace to code fix
A structured learning roadmap for Claude Code covering Anthropic's official documentation, the Skilljar course, a Korean WikiDocs community guide, and WeniVooks' vibe-coding guide — with pros, cons, and level-based recommendations.
How Claude Code's auto-fix feature automatically handles PR fixes and CI failures, plus Cole Medin's Self-Healing workflow that lets coding agents visually validate and self-correct their own work
A deep dive into 12 hidden settings in Claude Code's settings.json and environment variables — covering conversation retention, output limits, auto-compact, hooks, MCP servers, and model routing
Firecrawl's core features, MCP integration with Claude Code, and real-world benchmarks that go beyond Claude Code's built-in web fetch
Core observability concepts and the structured events model from Honeycomb's official docs, with a practical comparison of open source alternatives including Jaeger, Zipkin, SigNoz, and Pinpoint