Vercel
Product development workflows
Context scattered across 20 tools slowed teams. AI now queries the full stack to surface answers, accelerating releases.
- 35% faster shipping velocity
- Up to 9 hours/week saved per employee
Manual frontend work bottlenecked launches. By generating UI code from prompts, developers accelerated build speeds 24x.
The creator of Next.js, the world's most popular React framework with nearly 15 million weekly downloads powering websites for global brands like Walmart and Netflix.
Manual frontend development is inherently slow, creating bottlenecks for teams trying to ship dynamic web experiences quickly. Traditional coding...
“We took the powerful primitives popular with developers for working with LLMs and built a proficient UI integration on top, with end-to-end type safety across the entire application.”
Frontend cloud platform for building, deploying, and scaling web applications.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Context scattered across 20 tools slowed teams. AI now queries the full stack to surface answers, accelerating releases.
Manual testing couldn't keep pace. Now, AI agents validate code without scripts, cutting test durations by 60%.
Complex deployment blocked non-coders. Now, prompts build full-stack apps with 73% first-try success, letting anyone launch software.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.