AI/ML
Automating Software Development with OpenManus: From Code to Deployment
Introduction
With its multi-agent AI framework, OpenManus, which was introduced on GitHub in March 2025 by MetaGPT contributors, automates software development. It simplifies coding, testing and deployment and has more than 16,000 ratings. This guide, which is intended for Indian developers looking for efficiency, describes how to use OpenManus for a whole development cycle as of March 12, 2025.
Prerequisites
- System: Ubuntu 20.04+, 8GB RAM, Python 3.10+.
- Tools: Git, UV (curl -LsSf https://astral.sh/uv/install.sh | sh).
- API Key: OpenAI or equivalent LLM access.
Step-by-Step Automation
Step 1: Setup
Clone and Install:
git clone https://github.com/mannaandpoem/OpenManus.gitcd OpenManusuv pip install -r requirements.txt
Configure: Edit config/config.toml:
[llm]model = "gpt-4o"api_key = "your-api-key"
Step 2: Code Generation
Prompt: “Write a Python Flask API for a to-do list.”
Run:
python3 main.pyEnter your prompt: Write a Python Flask API for a to-do list
Output: OpenManus generates:
from flask import Flask, request, jsonifyapp = Flask(__name__)todos = []@app.route('/todos', methods=['POST'])def add_todo(): todo = request.json.get('task') todos.append(todo) return jsonify({'todos': todos})if __name__ == '__main__': app.run(debug=True)
Step 3: Testing
Prompt: “Generate unit tests for the Flask API.”
Output: OpenManus creates test_api.py:
import unittestfrom app import appclass TestAPI(unittest.TestCase): def setUp(self): app.testing = True self.client = app.test_client() def test_add_todo(self): response = self.client.post('/todos', json={'task': 'Test'}) self.assertEqual(response.status_code, 200)
Step 4: Deployment
Prompt: “Deploy the Flask API to AWS.”
Process: OpenManus scripts EC2 setup and uploads code (manual AWS config required initially).
Benefits
- Speed: Cuts development time by 50%+ (per community feedback).
- Accuracy: Reduces manual errors with AI driven logic.
Conclusion
OpenManus deploys code to software automatically, using its open source, GitHub hosted platform. For Indian developers, it's revolutionary - quick, cheap, and adaptable. Though still on the go, its end-to-end provision of a Flask API already highlights a future where coding efficiency is driven by AI.
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