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PRANAV BHARTI
PRANAV BHARTI

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The Cursor AI Shortcut: How I Built and Deployed a LangChain AI Agent with CI/CD

#azure #cicd #github #cursor

Struggling with deployments? Discover how I used Cursor AI to debug code, automate CI/CD, and deploy a Python web app to Azure!

Deploying a Flask app should be simple, but hidden bugs, dependency issues, and CI/CD hiccups can turn it into a nightmare.

That’s where Cursor AI changed the game for me.
By leveraging AI-assisted debugging, automated terminal commands, and smart error resolution, I cut my deployment time in half.

Here’s how you can do it too.

1. The AI-Powered Local Setup

🛠 Problem: Manual debugging is slow.
💡 Cursor AI Fix: Instant code optimization.

Instead of wasting hours fixing bugs myself, I:
Prompt to Cursor AI:
Make this production-ready: remove dead code, fix errors, and generate a clean requirements.txt with exact versions.

Cursor AI automatically:

  • Removed unused imports
  • Fixed Gemini API key handling
  • Generated a lean requirements.txt (✅ no version conflicts!)

Pro Tip: Always specify _Only include dependencies I actually used_ to avoid bloat.

2. GitHub Push Without Typing a Single Command

🛠 Problem: Git workflows are tedious.
💡 Cursor AI Fix: One-click repo setup.

I didn’t type a single Git command. Instead, I:

  • Created a GitHub repo and copied the SSH link
  • Told Cursor AI:

Prompt:
Push this project to my repo using SSH.

Cursor AI ran all the terminal commands:

git init
git remote add origin git@github.com:myrepo/ethics-ai.git
git add .
git commit -m "AI-optimized initial commit"
git push -u origin main

✅ Why This Matters: No more memorizing Git syntax—just deploy.

3. Azure Deployment: Where AI Saved Me from Disaster

🛠 Problem: Silent deployment failures.
💡 Cursor AI Fix: Real-time error decoding.

After connecting GitHub to Azure, my app failed silently. Here’s how AI helped:

❌ Error 1
ModuleNotFoundError: No module named 'langchain'
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Diagnosis
Azure doesn’t install dev dependencies. Move langchain from dev_requirements.txt to requirements.txt.

❌ Error 2
Blank Page on Startup
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Solution
Flask needs a WSGI server like Gunicorn in production. Add a startup command in Azure Configuration:

Command

gunicorn --bind=0.0.0.0:8000 app:app
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❌ Error 3
Gemini API Key Not Loading
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Reminder
Azure doesn’t read .env files. Add the key in App Service > Configuration > Application Settings.

4. The Result: A Live AI App in Under 1 Hour 🚀

Thanks to Cursor AI:

  • Debugged code before deployment (no trial-and-error)
  • Automated Git workflows (no manual commands)
  • Solved Azure errors in minutes (not days)

Before AI: 6+ hours of debugging
After AI: 45-minute deployment

5. Your Turn: Try the AI Shortcut

Next Steps:

  • Install Cursor AI (VS Code extension)
  • Use my prompts (copy them above)
  • Deploy fearlessly—let AI handle the grunt work

Question for You
What’s your biggest deployment pain point?

Let me know in the comments—I’ll share how AI can fix it!

Call to Action

Try Cursor AI today and tag me in your deployment success story!

Final Thought

AI won’t replace developers—but developers using AI will replace those who don’t. 🚀

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