What is GPT Engineer?
GPT Engineer is an open-source project hosted on GitHub designed to enhance the development workflow using artificial intelligence. The platform combines several tools and integrations, such as GitHub Copilot and advanced security features, to empower developers in automating workflows, managing packages, securing applications, and improving code quality. It caters to enterprises, teams, and startups across various industries, including healthcare, financial services, and manufacturing. Resources such as documentation, white papers, ebooks, and webinars are available to support users in leveraging GPT Engineer effectively.
GPT Engineer's Top Features
Key capabilities that make GPT Engineer stand out.
AI-powered developer tools
Enterprise-grade security features
Workflow automation
Package management
Code review functionalities
Support for CI/CD and DevOps
GitHub Copilot integration
Premium 24/7 support
Comprehensive documentation
Industry-specific solutions
Key Details
- Category
- AI Assistant
- Pricing Model
- Free
- Website
- Visit GPT Engineer
- Last Updated
- August 8, 2024
Tags
Category
About the Maker
The organization behind GPT Engineer.
Creating safe AGI that benefits all of humanity
AI Models by OpenAI
Large language models from the same organization.
| Model | Context Window | Price (In / Out per M) |
|---|---|---|
| GPT-5.4Current | 1.1M | $2.50 / $15.00 |
| GPT-5.3 CodexCurrent | 400K | $1.75 / $14.00 |
| o3Current | 200K | $10.00 / $40.00 |
| GPT-4o miniCurrent | 128K | $0.15 / $0.60 |
| GPT-4oCurrent | 128K | $2.50 / $10.00 |
| GPT-5 | 400K | $1.25 / $10.00 |
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Use Cases
Who benefits most from this tool.
Enterprise developers
Automate complex workflows and enhance security with enterprise-grade features.
Startup founders
Leverage AI to accelerate development and bring products to market faster.
Healthcare IT teams
Ensure compliance and security in healthcare applications while streamlining development.
Financial services developers
Improve code quality and security in financial software through AI-driven tools.
Manufacturing IT departments
Automate routine tasks and improve efficiency in manufacturing systems development.
DevOps engineers
Integrate and automate CI/CD pipelines with ease.
Security teams
Identify and fix vulnerabilities through advanced security features.
Software development teams
Enhance collaboration and code quality with AI-powered tools.
Project managers
Plan and track development progress effectively using integrated tools.
Educational institutions
Teach AI-driven development practices and workflows in computer science programs.