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.
Compare the top AI development tools and models of September 2025. View updated rankings, feature breakdowns, and find the best fit for you.
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.
Check out Kiro, AWS’s AI-powered IDE, see what makes it different from other AI coding tools, and explore whether it lives up to the hype.
Explore six principled design patterns (with real-world examples) to help you protect your LLM agents from prompt injection attacks.
