Streaming Chat UI
Token-streaming chat with markdown, syntax highlighting, citations, and message rewind.
React.js Development for AI-First Products
We build React UIs that feel native to AI: token streaming, optimistic tool calls, agent traces, and instant resumable threads. Ship a polished AI product UX in weeks, not quarters.
60+
React engineers
<100ms
Interaction-to-paint target
300+
React AI front-ends shipped
98%
Lighthouse perf median
Why React for AI MVPs
1
AI streaming is React-native
- Suspense boundaries hide partial states elegantly
- Token streams render as state updates without flicker
- useTransition keeps the UI responsive during model calls
- Vercel AI SDK gives ready hooks for streaming, tool calls, and chat
2
Composable by construction
- ChatBubble, ToolCall, Citation as reusable primitives
- Headless libraries (Radix, shadcn) for accessible chrome
- Tailwind for design tokens that match your brand instantly
- TypeScript types flow from Pydantic schemas via codegen
3
Performance built in
- Code-splitting per route prevents bundle bloat
- React Compiler memoizes for free in 19+
- Edge rendering puts UIs near users worldwide
- Streaming SSR reduces TTFB on chat pages
4
Accessibility and polish
- Keyboard-first chat with proper focus management
- Reduced motion respected in agent animations
- ARIA-live regions announce streaming output
- Reading-progress, copy-as-markdown, share built-in
What we build with React for AI products
Production AI front-ends, not demos
Agent Trace Viewers
Collapsible tool calls, JSON inspectors, and replay UIs so users trust the agent.
AI-assisted Forms
Inline suggestions, multi-field reasoning, and explainable confirms.
Mobile-first AI
Touch-friendly chat, voice input, and offline-tolerant React PWAs.
Component Libraries
Reusable AI primitives shipped as a private npm package for your team.
Migration to React 19
Upgrade from CRA, legacy class components, or Pages Router to modern React.
Our React-for-AI playbook
Streaming-first UX
Every chat feels instant: first token under 800ms, smooth scroll-pinning, no layout shifts.
Type-safe tool calls
Server tool schemas generate React types so the UI for new tools is autocompleted.
Telemetry built in
PostHog or LogRocket capture token metrics and user feedback per message.
Headless + branded
Radix and shadcn under the hood, your design system on top.
A11y respected
Streaming output announced, keyboard nav full-coverage, reduced-motion honored.
Tested for real users
Vitest + Playwright + Chromatic regression testing across browsers.
Our React-for-AI playbook
Streaming-first UX
Every chat feels instant: first token under 800ms, smooth scroll-pinning, no layout shifts.
Type-safe tool calls
Server tool schemas generate React types so the UI for new tools is autocompleted.
Telemetry built in
PostHog or LogRocket capture token metrics and user feedback per message.
Headless + branded
Radix and shadcn under the hood, your design system on top.
A11y respected
Streaming output announced, keyboard nav full-coverage, reduced-motion honored.
Tested for real users
Vitest + Playwright + Chromatic regression testing across browsers.
React for AI products. FAQ
Three reasons: the AI ecosystem (Vercel AI SDK, AI Elements, ai-chatbot template) ships React-first; Suspense and Server Components handle streaming naturally; and the talent pool is widest, so you can hire the team that maintains it.
No, but it makes streaming, server actions, and edge deployment simpler. We sometimes ship Vite + Hono for lighter products. The React component code is the same either way.
We pin the scroll only when the user is at the bottom, render token chunks at 60fps via requestAnimationFrame, and use React 18 concurrent features so input never blocks. First-token latency drives the feel: we target under 800ms end-to-end.
Yes. We virtualize traces with react-virtuoso, lazy-render JSON inspectors, and collapse non-active tool calls. A 200-step agent run renders without jank.
ARIA-live regions for streaming output, focus traps in modals, keyboard shortcuts mirror ChatGPT/Claude, and we test with NVDA and VoiceOver before launch.
