Rosario De Chiara discusses why small language models (SLMs) may outperform giants in specific real-world AI systems.

Vibe coding isn’t just AI-assisted chaos. Here’s how to avoid insecure, unreadable code and turn your “vibes” into real developer productivity.

GitHub SpecKit brings structure to AI-assisted coding with a spec-driven workflow. Learn how to build a consistent, React-based project guided by clear specs and plans.

Kombai AI converts Figma designs into clean, responsive frontend code. It helps developers build production-ready UIs faster while keeping design accuracy and code quality intact.

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.

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AI agents often break shadcn/ui components with outdated docs or made-up props.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.