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Doculearn

Intelligent productivity platform for modern teams. Doculearn automatically generates flashcards from code changes, creates knowledge graphs of your codebase, and maintains Kanban boards.

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Inspiration

We noticed a frustrating pattern in development teams: knowledge gets lost, context switching kills productivity, and teams drift off track. Developers push code, but forget what they learned. They switch between their IDE, Jira, flashcard apps, and status meetings—losing hours of deep work every day. We asked ourselves: What if your productivity tools learned from your actual work instead of requiring manual updates? What if you could study your codebase while building it? That's how Doculearn was born—to eliminate the gap between doing work and understanding it.

What it does

Doculearn is an intelligent productivity platform that keeps teams aligned through post-action intelligence. Instead of planning what you'll do, it helps you understand what you've done—automatically. Core Features: 🧠 Smart Learning

AI-Generated Flashcards: Automatically creates study cards from your code commits, helping you retain knowledge through spaced repetition Context Cards: Learn knowledge gaps without context switching—study while you build, right in your workflow Multilingual Support: Works in multiple languages for global teams

📊 Intelligent Boards

Work Board: Your personal dashboard that updates automatically with every commit Team Board: Real-time view of everyone's progress—no manual updates needed Compass Board: Keeps you laser-focused on goals, prevents scope creep, and ensures alignment

⚡ Productivity Tools

Bug Tracker & Ticker: Intelligent bug tracking with AI-suggested fixes Task Tower: Time management and task tracking Project Notes: Email reminders when it's time to act GitHub Integration: Connects seamlessly, indexes repos, analyzes your stack

🔐 Easy Access

Social login with LinkedIn, X (Twitter), Microsoft, and GitHub Complete repo insights: directories, files, stack analysis

Everything syncs automatically with your GitHub activity—commits, PRs, merges. Zero manual updates required.

How I built it

Architecture:

Frontend: Next.js hosted in Azure Container Apps for responsive, server-side rendered UI Backend: Django REST API hosted in Azure Container Apps for robust API endpoints AI Layer: Azure AI Foundry agents for intelligent workflow analysis, flashcard generation, and insights Integration: GitHub Apps & API for real-time webhook processing and repository monitoring Database: PostgreSQL for data persistence Storage: Azure Blob Storage for file management Payments: Dodo Payments integration for billing

Development Process:

Built GitHub OAuth flow and app integration first Implemented webhook system to capture real-time repository events Developed AI agents in Azure AI Foundry for content generation Created automatic board update logic based on git activity Built flashcard generation system using Azure OpenAI Designed Context Cards algorithm to identify knowledge gaps Implemented Compass Board tracking system Added multilingual support across the platform

Key Technologies:

Next.js, Django, PostgreSQL Azure Container Apps, Azure AI Foundry, Azure Blob Storage GitHub Apps & REST API Azure OpenAI for natural language processing OAuth 2.0 for social authentication

Challenges I ran into

  1. GitHub Webhook Processing Managing real-time webhook events at scale was complex. We had to handle rate limits, ensure idempotency, and process events asynchronously without losing data. Solution: Implemented Azure Event Grid for reliable event delivery and background processing.
  2. AI Context Understanding Getting the AI to understand code context well enough to generate meaningful flashcards was challenging. Early versions created generic cards. Solution: Fine-tuned our prompts and added repository-wide context analysis to create more relevant, personalized content.
  3. Real-time Board Updates Syncing boards across multiple users without manual triggers required careful state management. Solution: Implemented event-driven architecture where git events trigger board updates for all relevant users.
  4. Knowledge Gap Detection Building the Context Cards algorithm to identify what users don't know (but should) was complex. Solution: Analyzed commit patterns, code complexity, and study history to intelligently suggest relevant learning content.
  5. Multi-tenant GitHub App Supporting multiple organizations and users with different permission levels required careful security architecture. Solution: Implemented granular permission checking and installation-specific token management.

Accomplishments that I'm proud of

✅ Zero Manual Updates: Built a system where productivity tools update themselves based on actual work ✅ AI-Powered Learning: Successfully integrated AI to generate meaningful educational content from code ✅ Context Cards Innovation: Created a unique learning experience that eliminates context switching ✅ Real-time Collaboration: Team boards that show everyone's progress instantly ✅ Compass Board: Built a unique goal-tracking system that prevents scope creep ✅ Complete GitHub Integration: Deep integration with GitHub including indexing, stats, and real-time monitoring ✅ Production-Ready Architecture: Deployed on Azure with proper scaling, security, and monitoring ✅ Social Authentication: Implemented seamless login across 4 major platforms

What I learned

Technical Insights:

How to build scalable webhook processing systems with Azure Event Grid Advanced Azure AI Foundry agent development and orchestration Real-time state synchronization across distributed systems GitHub App architecture and OAuth flows Container orchestration with Azure Container Apps

Product Insights:

Developers hate manual status updates more than we thought Post-action intelligence (understanding what was done) is more valuable than pre-action planning Context switching is a bigger productivity killer than we realized Teams want automatic alignment, not more meetings Learning should happen in the flow of work, not separately

Design Insights:

Less is more—automatic features beat manual controls Visual feedback on goals (Compass Board) keeps teams focused Flashcards work better when they're about YOUR code, not generic concepts

What's next for Doculearn

Short-term (Next 3 months):

GitLab & Bitbucket Integration: Expand beyond GitHub Slack & Teams Notifications: Push updates to where teams already communicate Advanced Analytics: Team productivity insights and trend analysis Custom Flashcard Templates: Let users customize their learning experience Mobile Apps: iOS and Android for learning on the go

Medium-term (6-12 months):

Jira Integration: Sync with existing project management tools Code Review Assistant: AI-powered PR review suggestions Knowledge Graphs: Visual representation of codebase relationships and dependencies Team Collaboration Features: Shared study sessions and knowledge bases API Access: Let developers build custom integrations

Long-term Vision:

Enterprise Features: SSO/SAML, advanced security controls, compliance certifications On-premise Deployment: For organizations with strict data requirements AI Pair Programming: Real-time coding assistance based on your team's patterns Industry-specific Templates: Pre-configured setups for different tech stacks Educational Partnerships: Integration with coding bootcamps and universities

Ultimate Goal: Transform Doculearn into the definitive platform where teams don't just track work—they understand it, learn from it, and stay perfectly aligned while doing it.

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