John Reilly discusses how software development has been changed by the innovations of AI: both the positives and the negatives.

Jemima Abu examines where AI falls short on accessibility and how we can best harness AI while still building products that everyone can use.

Cloud AI made scaling easy, but local AI brings control, cost stability, and data privacy. Explore the hardware realities, tradeoffs, and strategies shaping this shift.

Compare the top AI development tools and models of October September 2025. View updated rankings, feature breakdowns, and find the best fit for you.

Skip the LangChain.js overhead: How to build a Retrieval-Augmented Generation (RAG) AI agent from scratch using just the native `fetch()` API.

Walk through building a data enrichment workflow that moves beyond simple lead gen to become a powerful internal tool for enterprises.

From sketches to code in minutes, DesignCoder shows how AI-generated, hierarchy-aware UIs could change the way developers prototype and ship apps.

AI agents often break shadcn/ui components with outdated docs or made-up props. The MCP server fixes this by giving live access to registries. In this tutorial, we’ll set it up and build a Kanban board to show it in action.

Andrew Evans gives his take on agentic AI and walks through a step-by-step method to build a spec-first workflow using Claude Code.

Walk through six tips and tricks that help you level up Claude Code to move beyond simply entering prompts into a text box.

Discover a handy pattern for routing LLM calls in an “environment-aware” manner, using AI SDK’s middleware.

Build smarter frontend chatbots with RAG and LangChain.js. Learn how to add context, improve accuracy, and cut costs with a practical tutorial.