P.01Media queries ask 'how wide is the viewport?' Container queries ask 'how wide is my parent?' That shift changes how you think about reusable components.
P.02If your design system needs to work in React, Vue, and a legacy jQuery app simultaneously, Web Components are the only native answer. Lit makes them practical to write.
P.03When your AI agent needs to run the code it writes, you can't let it touch your production servers. Here's how the main isolation options work and when to use each.
P.04Every agency hits the same wall: more work than the team can handle, but not enough volume to justify a full-time hire. White-label partnerships are how the ones that survive it manage growth.
P.05Figma shipped real AI features at Config 2025 and teams have been using them for nearly a year. Here is what actually works, what still doesn't, and how design workflows at agencies have changed.
P.06HPA scales on CPU and memory. But most production workloads don't scale well on those signals. KEDA, VPA, and Goldilocks fill the gaps that HPA leaves open.
P.07The implicit flow is dead, and most tutorials still teach it. Here is how authorization code flow with PKCE actually works, how tokens should be stored, and where most SPA auth implementations go wrong.
P.08Most agency developers don't think about the license of npm packages they install until a client's legal team asks. Here is what the major licenses actually require and where the real risks sit.
P.09Google's crawler runs JavaScript, but not the same way a browser does. The gap between what your JavaScript app renders and what gets indexed is where most SPA SEO problems hide.
P.10Past the chatbot hype, AI is genuinely improving specific e-commerce outcomes. Here are the implementations producing measurable results, and the ones that still mostly disappoint.
P.11Bad documentation is usually not a writing problem — it's a maintenance problem. AI tools are changing the equation by making initial doc generation cheap and doc refresh practical at scale.
P.12Burnout among developers isn't new. But the specific pressures of 2026 — AI-driven productivity expectations, skills anxiety, and the blurring of output and identity — create a different texture of exhaustion.