FastAPI + Next.js MVP with LLM
Budget: ₹100 – ₹400 INR
I’m putting together a lean MVP that combines a FastAPI backend, a Next.js frontend, and an agentic LLM layer. The priority is to get a working slice of the product in users’ hands quickly, so I need clean, test-covered code that can be iterated on.
Backend scope
• Spin up a FastAPI service that handles user authentication (JWT or similar), core data processing logic, and well-documented API endpoints.
• Wire in an agentic LLM component: the service should accept user prompts, route them through the chosen model, maintain conversation state, and return structured responses.
Frontend scope
• Build a minimal but polished Next.js interface that authenticates against the API, displays data returned from the endpoints, and showcases the LLM-powered interactions in real time.
• Server-side rendering where it makes sense; otherwise, keep things light with React hooks.
Deliverables
1. Source code for FastAPI and Next.js apps in a single Git repo.
2. Docker-compose file (or similar) to spin everything up locally.
3. Postman / OpenAPI docs for each endpoint.
4. Brief setup guide and next-step recommendations.
Acceptance criteria
– Successful login / signup flow.
– At least one data processing route returning expected JSON.
– LLM agent responds to a sample prompt with conversation context preserved.
– End-to-end tests pass in CI.
If this matches your expertise in FastAPI, Next.js, and modern LLM tooling, let’s talk timelines and milestones.
Backend scope
• Spin up a FastAPI service that handles user authentication (JWT or similar), core data processing logic, and well-documented API endpoints.
• Wire in an agentic LLM component: the service should accept user prompts, route them through the chosen model, maintain conversation state, and return structured responses.
Frontend scope
• Build a minimal but polished Next.js interface that authenticates against the API, displays data returned from the endpoints, and showcases the LLM-powered interactions in real time.
• Server-side rendering where it makes sense; otherwise, keep things light with React hooks.
Deliverables
1. Source code for FastAPI and Next.js apps in a single Git repo.
2. Docker-compose file (or similar) to spin everything up locally.
3. Postman / OpenAPI docs for each endpoint.
4. Brief setup guide and next-step recommendations.
Acceptance criteria
– Successful login / signup flow.
– At least one data processing route returning expected JSON.
– LLM agent responds to a sample prompt with conversation context preserved.
– End-to-end tests pass in CI.
If this matches your expertise in FastAPI, Next.js, and modern LLM tooling, let’s talk timelines and milestones.
Related categories:
Node.js
React.js
Docker
Backend Development
Frontend Development
Next.js
FastAPI
Large Language Models (LLMs)
AI Agents