DevLearning Agent 🤖

An intelligent multi-agent system that automates daily tech learning by synthesizing insights from GitHub repositories and Reddit career discussions, prioritizing what matters most for backend engineering roles in Germany.

Why I Built This

As a backend engineer actively job hunting, I was spending 3+ hours per week manually browsing GitHub trending pages and Reddit career discussions. The signal-to-noise ratio was terrible. I built this agentic system to automate the research, synthesize insights, and tell me exactly what to focus on.

What It Does

Monitors Multiple Sources:

• Tracks GitHub starred repositories for recent activity
• Discovers trending repos in my tech stack (Python, Java, backend-focused)
• Scans 6+ relevant subreddits (cscareerquestionsEU, ExperiencedDevs, Backend, etc.)

Analyzes with LLM Intelligence:

• Uses Perplexity AI to analyze each GitHub repo's learning value
• Evaluates Reddit discussions for career insights and actionable advice
• Generates focused summaries on job market relevance

Synthesizes Cross-Source Patterns:

• Detects topics trending across BOTH GitHub and Reddit
• Validates trends through multi-source correlation
• Identifies emerging patterns before they become mainstream

Prioritizes Intelligently:

• Scores every item (0-100) based on: popularity, recency, relevance, cross-validation, topic specificity
• Makes autonomous decisions about what deserves attention
• Provides transparent reasoning for each prioritization

Delivers Daily Digest:

• Generates beautiful Markdown report with synthesis summary
• Highlights top 3 GitHub discoveries and top 5 Reddit insights
• Provides actionable learning items for the week

Tech Stack

• Python 3.11
• Perplexity API (LLM analysis)
• PyGithub (GitHub API)
• PRAW (Reddit API)
• LangChain/LangGraph (multi-agent orchestration)

Quick Start

Prerequisites

Get API keys from:

• Perplexity API: https://www.perplexity.ai/settings/api (free $5 credit)
• GitHub Token: https://github.com/settings/tokens
• Reddit API: https://www.reddit.com/prefs/apps (create script app)

Installation

git clone https://github.com/yourusername/devlearning-agent.git cd devlearning-agent python3.11 -m venv venv source venv/bin/activate pip install -r requirements.txt cp .env.example .env

Edit .env with your API keys, then edit config/settings.py to set your GitHub username and preferences.

Run

python main.py

Check outputs/daily_digest_*.md for your personalized learning brief.

Sample Output

Synthesis Summary:

The dominant trend is AI-driven backend demand combined with system design interviews. Backend engineers who can debug AI-generated code AND design scalable systems are in highest demand in Germany.

Cross-Source Patterns:

• Backend: 8 mentions (5 GitHub, 3 Reddit)
• System Design: 5 mentions (2 GitHub, 3 Reddit)
• Python: 5 mentions (3 GitHub, 2 Reddit)

Top Priority:

• donnemartin/system-design-primer - Score: 95 (CRITICAL)
• "AI coders busier than ever" post - Score: 98 (CRITICAL)

Results

• Time Saved: 85% reduction (3 hrs/week → 5 min/day)
• Quality: 3x improvement in signal-to-noise ratio
• Metrics: 49 Reddit posts + 10 GitHub repos → 6 cross-patterns + 1 strategic recommendation

Future Enhancements

• Email delivery automation
• Historical trend tracking
• HackerNews integration
• Company-specific intelligence

Project Timeline

Built in ~8 hours during active job search:

• Day 1 (3h): Data fetching + LLM analysis
• Day 1.5 (2h): Markdown formatting
• Day 2 (3h): Synthesis agent + priority scoring