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app/api/users/route.ts
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async function createUser(request: Request) {const body = await request.json();- console.log('TODO create user:', user);+ const user = await db.users.create({+ name: body.name,+ email: body.email+ });return Response.json(user);}
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Welcome to Quantstruct! Improve your docs based on the detected changes 👇
📜 Docs draft update
- API Reference Guidedocs/reference/api-reference.tsx
- Changelogdocs/changelog/2025-04-02.md
🔗 Originating change
GitHub PR [#1862]
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docs/reference/api-reference.mdx
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+ # Create User++ Creates a new user in the database with the provided name and email.++ ### Request+ POST `/api/users`++ ### Example+ ```python+ import requests++ response = requests.post(+ "/api/users",+ json={+ "name": "John Doe",+ "email": "john@example.com"+ }+ )++ user = response.json()+ ```
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docs/changelog/2025-04-02.md
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+ # Changelog++ ## Added+ New user creation endpoint (`POST /api/users`)+ Improved error handling with detailed messages++ ## Fixed+ Authentication token validation bug+ Rate limiting headers not being set correctly+ Documentation sync issues
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Frequently Asked Questions
Quantstruct is an agentic workflow platform for technical documentation. It helps teams maintain accurate, up-to-date technical docs. It automatically detects changes in your codebase and suggests relevant docs updates.
Quantstruct integrates with your GitHub repositories and Slack workspace. When code changes are detected, our AI analyzes the changes and automatically generates documentation updates. These updates are then sent for review through GitHub pull requests or Slack notifications.
Quantstruct is ideal for software development teams of any size who want to maintain high-quality documentation without the manual overhead. It's especially valuable for teams working on APIs, SDKs, or any software product with a developer community.
Quantstruct's AI uses prompts and finetuned models that comprise high quality technical documentation and code samples. All generated content goes through multiple validation steps and is presented for human review before being published. Our system also learns from your team's feedback to improve accuracy over time.
Quantstruct currently integrates with Git-based documentation management platforms (Mintlify, Fern, GitBook, Docusaurus, Nextra, etc.), Slack, and popular documentation platforms. We are developing integrations for Discord and Linear, and adding new integrations based on user feedback.
Getting started is easy! Sign up above, connect your GitHub repository and Slack workspace, and our team will guide you through the setup process. We offer personalized onboarding to ensure you get the most value from Quantstruct.