Braintrust
Code generation
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
- 50% team adoption of Codex within one month
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.
Vercel's Code generation is part of this use case:
Related implementations across industries and use cases
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
A bug sat for years because the fix meant a month of digging. AI traced the fragmented code to draft a solution in three days.
Manual coding took 40% of dev time. With AI handling code generation and security scans, engineering productivity rose 20%.
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
A bug sat for years because the fix meant a month of digging. AI traced the fragmented code to draft a solution in three days.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
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.
Vercel's Code generation is part of this use case:
Related implementations across industries and use cases
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
A bug sat for years because the fix meant a month of digging. AI traced the fragmented code to draft a solution in three days.
Manual coding took 40% of dev time. With AI handling code generation and security scans, engineering productivity rose 20%.
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
A bug sat for years because the fix meant a month of digging. AI traced the fragmented code to draft a solution in three days.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.