Early-stage startups move fast, but their documentation often lags behind. This slows down developer onboarding, integrations, and collaboration.
DocFlow Lite solves this by automatically generating, centralizing, and personalizing documentation using Mintlify.
Our hackathon MVP demonstrates:
- Auto-generation of docs from a GitHub repo.
- Role-based onboarding flows (Backend Dev, Frontend Dev, Product Manager).
- A lightweight Q&A assistant powered by an LLM trained on the docs.
- Startups and teams build APIs quickly, but internal/external docs are messy and inconsistent.
- Onboarding new hires or partners can take days of hand-holding.
- Hackathon teams and agencies also struggle with packaging APIs for quick understanding.
- ✅ Connect a GitHub repository and extract metadata (endpoints, functions, README).
- ✅ Auto-generate Mintlify docs from the extracted repo data.
- ✅ Provide role-based “Getting Started” wizard (at least 3 roles).
- ✅ Build a Q&A assistant that can answer simple questions using generated docs.
- ✅ Deliver a polished demo flow: Repo → Docs → Role-based view → Q&A.
- Comprehensive analytics dashboard (post-hackathon feature).
- Enterprise integrations (Slack, Jira, Notion).
- Advanced Q&A fine-tuning or multi-language support.
- Startups scaling fast – onboarding new devs/partners.
- Hackathon teams – need polished APIs in hours, not weeks.
- Agencies – ship clear developer handoffs to clients.
- As a backend developer, I want to see API endpoints and setup instructions tailored to my role so I can start coding quickly.
- As a frontend developer, I want to know how to connect to backend APIs without sifting through irrelevant details.
- As a product manager, I want a simplified overview of functionality to understand product capabilities.
- As a new teammate, I want to ask questions in plain English and get instant answers from the docs.
- Fetch repo content (README, code files) using GitHub API.
- Parse for endpoints/functions.
- Store metadata in a lightweight database (JSON/SQLite for hackathon).
- Generate
.mdxdocs dynamically. - Scaffold a Mintlify docs site from the repo data.
- Simple React/Next.js frontend.
- Role selector (Backend, Frontend, PM).
- Each role sees curated docs and instructions.
- Integrate OpenAI API (or equivalent).
- Load generated docs into context (basic string concatenation for MVP).
- Simple chat UI for asking/answering questions.
- Frontend: React / Next.js + TailwindCSS
- Backend: Node.js + Express (API integration + parsing)
- Docs: Mintlify (docs-as-code generation)
- Database: Lightweight (JSON or SQLite for demo)
- AI: OpenAI GPT API (context from generated docs)
- Hosting: Vercel/Netlify (frontend), Render/Heroku (backend)
- Backend Integration Lead – GitHub API + parsing endpoints.
- Docs Integration Lead – Mintlify docs generation pipeline.
- Frontend/UI Lead – Role-based wizard + Q&A UI.
- AI/LLM Lead – Q&A assistant powered by docs.
- Hours 0–4: Architecture setup + GitHub integration stub.
- Hours 5–12: Repo parsing + Mintlify doc generation MVP.
- Hours 12–20: Build role-based onboarding wizard.
- Hours 20–30: Integrate Q&A assistant + connect to docs.
- Hours 30–36: Polish UI/UX, debug flows, rehearse pitch.
- Final Hours: Prepare submission + demo video.
- Judges can see a working demo where:
- A repo is connected.
- Docs are auto-generated.
- A role-based onboarding flow is displayed.
- Q&A assistant answers a sample question from the docs.
If all 4 steps are shown in the demo, MVP is a success.
- Analytics: Track doc usage, onboarding bottlenecks.
- Integrations: Slack, Jira, Notion for team-wide visibility.
- Custom Templates: Framework-specific onboarding flows.
- Gamification: Progress tracking for new devs.