Devseek.ai

Project Summary • Features & Capabilities • Pricing • Usage Examples • Contribution Guidelines • License Information • Contact Details

Project Summary

Devseek.ai is an AI-powered SaaS platform that automates the entire Software Development Lifecycle (SDLC)—from ideation to deployment—eliminating the need for human developers. It employs AI agents to write code, test applications, fix bugs, and generate documentation, delivering fully functional, production-ready applications.

Features & Capabilities

• AI-Powered Development: Input your idea, and our AI builds the app—no coding required.
• Full Automation: AI manages planning, coding, testing, debugging, and documentation.
• Ready-to-Deploy Apps: Receive a launch-ready application from the AI.
• Faster than Human Developers: AI operates 10x faster, eliminating human delays.
• No Human Errors: AI produces optimized, scalable, and bug-free code.
• Scalability & Cost Savings: Eliminate the need for hiring engineers—just leverage AI.

Pricing

We offer a tiered pricing model to cater to various needs:

1. Early Access: $149 Lifetime Access (Limited to 500-1000 users)
2. Standard Subscription: $99/month
3. Enterprise: $299/month

Note: Early Access provides lifetime access at a one-time fee, creating urgency and value for early adopters.

Usage Examples

After purchasing and obtaining access to the repository, follow these steps to set up Devseek.ai:

1. Clone the Repository:

   git clone https://github.com/Techiral/Devseek-AI.git
   cd Devseek-AI

2. Create a Virtual Environment:

   python3 -m venv venv
   source venv/bin/activate  # On Windows, use venv\Scripts\activate

3. Install Dependencies:

   pip install -r requirements.txt

4. Configure Settings:

   cp example-config.json config.json

   Edit config.json to set your keys and other settings:

   • LLM Provider: Set your provider (e.g., openai, anthropic, or groq) key and endpoints. Leave null for default settings. Note that Azure and OpenRouter are supported via the openai setting.
   • API Key: If null, it will be read from environment variables.
   • Database Settings: SQLite is used by default; PostgreSQL is also supported.
   • Ignore Paths: Optionally update fs.ignore_paths to add files or folders that shouldn't be tracked by Devseek.ai in the workspace, useful for ignoring folders created by compilers.

5. Start Devseek.ai:

   python main.py

   All generated code will be stored in the workspace folder inside a folder named after the app name you enter upon starting the pilot.

Contribution Guidelines

We welcome contributions from the community! To contribute:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes and commit them (git commit -m 'Add new feature').
4. Push to the branch (git push origin feature-branch).
5. Open a Pull Request detailing your changes.

Please ensure your code adheres to our coding standards and includes appropriate tests.

License Information

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact Details

For support or inquiries:

• Email: [email protected]
• Website: https://devseek-ai.vercel.app/
• GitHub: https://github.com/Techiral/DevseekAI

Empower your development process with Devseek.ai—where AI meets innovation.

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Related Resources:

• AI in Software Development
• Continuous Integration on GitHub
• OpenAI API Documentation