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.

Walk through a practical example of n8n’s Eval feature, which helps developers reduce hallucinations and increase reliability of AI products.

Secure AI-generated code with proactive prompting, automated guardrails, and contextual auditing. A practical playbook for safe AI-assisted development.

Explore the vibe coding hype cycle, the risks of casual “vibe-driven” development, and why prompt engineering deserves a comeback as a critical skill for building better, more reliable AI applications.

Discover what you actually need to build and ship AI-powered apps in 2025, with tips for which tools to choose and how to implement them.

Learn how Cursor project rules streamline Next.js apps with automated conventions, consistent components, and faster developer onboarding.

Explore the hidden dangers of BaaS, and how frontend-focused teams can use BaaS platforms without suffering from their major risks.

As AI tools take over more routine coding work, some companies are cutting early-career dev roles — a short-sighted move that could quietly erode the next generation of tech leaders if we aren’t careful.

Explore daisyUI 5’s new features, performance upgrades, and theming engine built for Tailwind CSS 4 developers.

Discover why you might be having difficulty with AI coding tools, and learn some practical strategies to work with AI more effectively.

Learn how to build multimodal AI interactions to process images, audio, and even real-time video streams, using Next.js and Gemini.