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AI-Accelerated Delivery 2 days

Complete Next.js frontend in 48 hours

Problem

The client had invested months building a NestJS backend with authentication, WebSocket events, and dozens of REST endpoints, but the frontend was a blank canvas. Their options were a multi-week hiring sprint for frontend engineers who would then need onboarding time to learn the API surface, or contracting a frontend team that would spend the first week just reading API docs. Neither timeline worked. They needed a complete, typed, production-quality frontend that matched their existing API contracts, and they needed it measured in days, not weeks.

What we did

We treated it as an orchestration problem, not a coding problem. We spun up 10 AI coding agents in parallel, each scoped to a specific domain: one handled scaffolding and project structure, one wired up shadcn components and layouts, one built the auth flow, one generated TypeScript types and API client hooks from the OpenAPI spec, one handled WebSocket integration, and the rest owned individual feature pages. The human integration lead, responsible for 35 of the 128 commits, did what AI agents can’t: aligned generated code against real API response shapes, fixed type mismatches where the spec diverged from reality, resolved null guards, unwrapped nested API responses, added ESLint and Prettier, and deduplicated pages where agents had produced overlapping work. The agents wrote code fast; the integration lead made it correct.

Result

128 commits landed in 48 hours across 11 contributors (10 AI agents plus the integration lead). Every backend endpoint has a corresponding frontend page. Auth flows work end-to-end. WebSocket events render in real time. TypeScript types are generated from the OpenAPI spec, so the frontend and backend share a single source of truth for data shapes. The integration lead’s 35 commits were the difference between “AI-generated code that compiles” and “a frontend that actually works against production APIs.” This wasn’t AI replacing engineers. It was AI multiplying one engineer’s output by 10x.

Key highlights

  • 128 commits in 48 hours across 11 contributors
  • 10 parallel AI agents, each scoped to a domain
  • Human integration lead aligned all code against real APIs
  • Full type safety via OpenAPI-generated TypeScript types

Tech stack

Next.jsTypeScriptClaude CodeOpenAPI

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