Open almost any "how I use AI" post and you'll find an orchestra: a planner agent, a coder agent, a reviewer agent, a tester agent, all pinging each other. It looks impressive. It's also the most expensive, most fragile way to get worse results than one agent you actually taught to do the job.
Every performance guide tells you to lazy-load. Almost none tell you where to stop. Split on your file tree and you trade one big bundle for a hundred tiny chunks and a waterfall of spinners. The real question isn't how to split — it's finding the seams in the user's journey and cutting there.
Cmd+K looks like a fuzzy-search modal you bolt on at the end. Build it that way and it immediately drifts out of sync with the buttons and menus it duplicates. The real thing is a command registry: one typed source of truth for everything the app can do, feeding the palette, the shortcuts, and the menus at once.
Dark mode looks like a class you toggle. Then you meet the flash of the wrong theme on load, colors that drift because every component hardcodes its own, and a theme context that re-renders the whole app. Theming done right is tokens, one switch point, and a boundary — and it barely touches React at all.
There's a particular panic I keep running into: a component re-rendered, someone saw it in the profiler, and now they're tearing the architecture apart to stop it. But rendering isn't React's flaw — it's the whole idea. The word you want is optimize, not minimize, and the difference decides whether your app stays maintainable.
Most analytics code is a scatter of track('button_click') calls with drifting names, mystery payloads, and three vendor SDKs called inline. Analytics is a cross-cutting concern, and it belongs in a layer with a typed event catalog — not smeared through your components. Here's how I structure it.
Feature flags decouple deploy from release, and that's genuinely powerful. But every flag is a fork in your code, forks multiply, and the ones nobody deletes quietly become the most dangerous debt in the codebase. The architecture isn't the flag — it's how you evaluate, type, and eventually kill it.
An event bus feels like the cure for prop drilling and tangled dependencies — anything can talk to anything, and nothing is wired together. That's exactly the problem. It doesn't remove the coupling, it hides it. Here's where a bus genuinely helps and where it quietly turns your app into action-at-a-distance.
isLoading, isError, isSuccess, isEditing — five booleans give you thirty-two combinations, and most of them are impossible states your code still has to survive. A state machine makes the impossible ones unrepresentable. Here's when to hand-roll one and when to reach for XState.
The instinct is to snapshot your whole state on every change and step backward through the copies. It works until it doesn't. A history of reversible commands scales further, describes what actually changed, and survives contact with a server. Here's how I build undo/redo that doesn't fall apart.
Optimistic UI is a small lie: you show the result before the server confirms it. Done right, the app feels instant. Done wrong, the UI quietly tells the user something that never happened. The difference is entirely in how you roll back.
The same customer shows up in a list, a detail page, and a header badge — three copies of one truth you don't own. Edit one and the others go stale. Here's when to normalize server data into one source of truth, when the query cache is enough, and how to invalidate without nuking everything.
localStorage looks like a global variable that survives a refresh. That framing is the bug. Treat it as a persistence layer that mirrors your state — not as the state itself — and the hydration mismatches, stale tabs, and schema breakages mostly disappear.
A shared UI kit does not fail because the button component is hard to write. It fails when five applications are afraid to upgrade it. Versioning, contract tests, release channels, and migration paths are what turn a component library from a dependency into a product people can trust.
Writing the new version of a shared component is the easy 10%. The other 90% is the hundred call sites that already depend on the old one — and the fear of touching them. Here's how I change a component everyone uses without a month-long rewrite that breaks the day it lands.
The most reusable UI code I write renders nothing at all. Headless components, render props, and hooks-as-API are three names for one idea: separate what a component does from how it looks — and hand over the behavior without a single opinion about the markup.
The moment a component grows past a handful of props, you're not writing a component anymore — you're designing an API. Compound components are how you keep that API flexible without drowning it in configuration props.
The pattern that taught a generation to split 'smart' from 'dumb' components got quietly declared obsolete when hooks arrived. It wasn't. The folder convention died. The idea underneath it is more useful now than ever — including in Server Components.
Split a component too early and you get a maze of tiny files. Split too late and you get a 600-line monster. The real question isn't size — it's who owns which dependency, and whether the component reaches for it or is handed it.
You can draw whatever folder diagram you like. The honest picture of your app is which module imports which — the direction of the arrows. Get that wrong and no folder structure will save you.
A barrel file makes imports look beautiful and can quietly drag half your app into a bundle that only needed one function. Here's what index.ts actually does, when it earns its place, and when it's a trap wearing a clean interface.
Every codebase grows a shared/ folder, and given enough time every shared/ folder becomes a junk drawer. Not because the team got lazy — because the folder was never given a rule. Here's why it rots, and how to keep it boring.
Most engineers treat the Figma file as a picture to reproduce. That framing is why so many handoffs go badly. A good design isn't a picture — it's the first draft of your component architecture, and the decisions that decide whether your codebase stays sane are made before a single line of React is written.
FSD is one of the best frontend methodologies out there. Used without thinking, it turns a complex component into a scavenger hunt across eight folders. Here's what I learned.
Server rendering isn't a performance checkbox — it collapses the wall between frontend and backend into one framework. Here's what SSR really buys you, why the client/server line stops being where you think it is, and where TanStack Start fits next to Next.js.
Auth looks like a login form and turns out to be an architecture decision. Where do tokens live, who guards a route, what happens when the session dies mid-request? Here's why I buy auth instead of building it, and the parts that stay yours no matter what you buy.
Append-only markdown memory works great — until it doesn't. After watching the system degrade in production, our team redesigned it from scratch with strict principles: small, high-signal, controlled, and self-maintaining.
A module I was told not to over-engineer grew into an entire application. Most of what let it survive was boring — and one of the most boring rules was never mutating state in place. Here's how immutability actually works in React, when I reach for Immer, and why I skip Immutable.js.
Most React state doesn't need a library. Then one workflow grows into drafts, derived values, undo, optimistic steps, and cross-component coordination. This is where I reach for Reatom instead of turning TanStack Query into a client-state store.
Flat folders are fine until every feature starts touching routes, queries, forms, permissions, and UI state. Here's the React structure I use when a TanStack app grows past the simple stage without turning FSD into folder theater.
How structured documentation dramatically improves AI-generated code quality by giving agents the context they need.
How to build component libraries that teams actually want to use.
Patterns for managing complex form state, validation, and user experience.
How to structure and manage large-scale monorepo projects effectively.