I Built an AI-Powered Daily LeetCode Planner Using Workflow Automation
Recently, I explored workflow automation using Kestra and ended up building a small but powerful system, an AI-powered Daily LeetCode Planner.
The goal was simple:
Stop wasting time deciding what to solve every day and automate the entire process.
What it does
Every morning, the system automatically:
- Fetches coding problems from LeetCode
- Selects a balanced set of Easy, Medium, and Hard questions
- Sends them to an AI model for structured analysis
- Generates a full study plan with patterns and hints
- Emails it directly to me
Tech Stack
- Kestra (workflow orchestration)
- Python (data processing and logic)
- Google Gemini API (AI analysis)
- LeetCode GraphQL API (problem data source)
- SMTP (email automation)
How the workflow works
1. Fetch problems
Pulls a list of 50 problems from LeetCode GraphQL API.
2. Select questions
A Python script:
- Filters valid entries
- Groups by difficulty
- Randomly selects a balanced set
3. AI analysis
Gemini processes the selected questions and generates:
- Solving patterns
- Important concepts
- One-line hints
- Interview insights
- Recommended solving order
4. Email output
The final structured plan is sent automatically to my email every morning.
Why I built this
As someone practicing DSA regularly, I noticed:
- Time wasted choosing problems
- No structured daily flow
- No pattern-based learning system
So I automated it instead.
What I learned
This project taught me:
- Workflow automation can connect full systems, not just scripts
- AI is best used for structuring and reasoning, not just answers
- Small automation pipelines can quickly become powerful tools
- Debugging multi-step workflows is a different skill than normal coding
Flow YAML File (Github): https://github.com/rishabhrawat05/AI-Daily-LeetCode-Planner-Kestra
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