Welcome to the Stream: My Go-To Tool Setup in 2026

Every developer eventually lands on a setup that just works. This is mine.

The Editor: JetBrains WebStorm

WebStorm is where I write code. The deep TypeScript and React intelligence — refactoring, imports, navigation — is genuinely best-in-class. It knows your codebase in a way that generic editors don't, and that pays off constantly on larger projects.

The AI Layer: Claude Code

Claude Code runs alongside WebStorm and handles the heavy lifting — planning features, writing boilerplate, debugging, and refactoring entire files or components in one shot. The Mac app keeps it always available without context switching. It's not just autocomplete; it's a second engineer in the room.

The combination of WebStorm's precision and Claude Code's breadth covers both ends of the spectrum. WebStorm for surgical edits; Claude Code when the scope is bigger.

The Stack: Next.js + Tailwind + Prisma

For anything with a UI, I reach for Next.js. The App Router is genuinely excellent once you stop fighting its mental model. Pair it with Tailwind v4's CSS-first config and Prisma's type-safe queries, and you have a setup that feels fast to build and safe to ship.

The Database: PostgreSQL on Neon

Neon's serverless Postgres gives you branch-per-PR workflows with zero DevOps overhead. For solo projects and small teams, this is the highest leverage move you can make on the data layer.

The Auth: Better Auth

Better Auth hit a sweet spot — sessions, OAuth, and role management without the ceremony of building it yourself or paying Auth0 prices. The Prisma adapter drops in cleanly.

What I Left Behind

• Firebase — the vendor lock-in tax eventually comes due.
• Redux — Zustand solves 90% of the same problems with 10% of the boilerplate.
• REST — not dogmatically, but Server Actions and tRPC have made me question every new REST endpoint.

The goal of a good stack is to get out of your way. These tools mostly do that. There's a bonus that took me a while to appreciate: today's AI models understand this stack deeply and make very few technical mistakes with it. Ask Claude to build a Prisma schema, wire up a Next.js Server Action, or scaffold a Tailwind component, and it just works — first try, production quality.

The reason isn't magic. These tools sit at the intersection of extremely popular and well-documented with clear conventions. That combination produces an unusually high signal-to-noise ratio in the training data AI models learn from — thousands of consistent examples, official docs, and real-world codebases all reinforcing the same patterns. A niche or newer framework might be technically superior, but if the AI learned from fifty examples instead of fifty thousand, the error rate shows. This stack has been written about, debated, and shipped so many times that the models have seen almost every pattern and edge case. You benefit from that the moment you start a new project.