AI-powered coding assistants have revolutionized the development workflow, offering time-saving features like code completion, bug detection, and even refactoring suggestions. Here are the top 17 AI tools that every developer should know.
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1. GitHub Copilot
GitHub Copilot, developed in collaboration with OpenAI, is a real-time code suggestion tool that integrates with popular IDEs. It helps developers write code faster by providing context-aware suggestions.
Key Features:
- Multi-language support (Python, JavaScript, TypeScript, etc.)
- Customizable code suggestions
- GitHub Copilot Chat for interactive code questions
Pricing: Starts at $10/month (free for students)
Pros: High-quality code suggestions from public code repositories
Cons: Security and licensing concerns over using public code snippets
2. Tabnine
Tabnine offers AI-powered code completion with a focus on privacy. It integrates seamlessly with more than 80 programming languages and popular IDEs.
Key Features:
- Context-aware suggestions
- Local and cloud-based models
- Team-level AI model customization
Pricing: Starts at $12/month per user
Pros: Privacy-centric with customizable team models
Cons: Advanced features locked behind paid plans
3. Cursor AI
Cursor AI boosts coding efficiency by automating repetitive tasks and providing real-time code suggestions. It also assists with debugging and syntax correction.
Key Features:
- Code suggestions and syntax correction
- Real-time collaboration for teams
- Task automation for repetitive coding actions
Pricing: Free for basic use, Pro plans start at $20/month
Pros: Helps automate tedious tasks
Cons: Struggles with complex coding challenges
4. Sourcegraph Cody
Sourcegraph Cody is integrated with Sourcegraph’s code intelligence platform, ideal for large, complex codebases with distributed teams.
Key Features:
- Cross-repository insights
- AI-powered suggestions
- Deep integration with Sourcegraph’s platform
Pricing: Starts at $9/month for Pro plans
Pros: Great for large-scale projects
Cons: Setup can be complex for proprietary codebases
5. Replit
Replit is a cloud-based IDE with built-in AI-powered code assistants like Ghostwriter. It supports real-time collaboration and code testing.
Key Features:
- Ghostwriter for autocompletion and debugging
- Multiplayer mode for team coding
- Learning-based code suggestions
Pricing: Free Starter plan, paid plans from $10/month
Pros: Seamless collaboration in the cloud
Cons: Performance can be impacted by internet speed
6. Codiga
Codiga uses AI to perform static code analysis, helping developers write cleaner, more secure code.
Key Features:
- Static code analysis for bug and vulnerability detection
- AI-powered code suggestions
- Reusable code snippets
Pricing: Free version, team plans available
Pros: Helps catch bugs early with real-time analysis
Cons: Requires setup for static analysis rules
7. Sourcery
Sourcery refactors Python code by suggesting improvements to readability, efficiency, and maintainability.
Key Features:
- Automated code reviews
- Real-time refactoring suggestions
- Best practices enforcement
Pricing: Free for open-source, Pro plans from $12/month
Pros: Improves code quality and reduces technical debt
Cons: Limited to Python language
8. DeepCode AI (Snyk)
Now part of Snyk, DeepCode AI analyzes code for security vulnerabilities and bugs. It's integrated with Snyk’s platform for comprehensive security.
Key Features:
- Real-time vulnerability detection
- In-depth security analysis
- Integrates with Snyk’s security tools
Pricing: Free plan available, paid plans from $25/month
Pros: Strong security focus
Cons: Can be slow on very large codebases
9. Hugging Face
Hugging Face provides pre-trained models for AI code generation. Its platform offers tools for developers to integrate machine learning into coding tasks.
Key Features:
- Pre-trained models like CodeGen for code generation
- Open-source community collaboration
- Code generation from natural language descriptions
Pricing: Free tier available, paid plans from $9/month
Pros: Wide range of pre-trained models
Cons: Requires significant computational power for large models
10. Amazon SageMaker
Amazon SageMaker is an AI service from AWS for building, training, and deploying machine learning models. It’s particularly useful for creating custom models for AI-driven code tasks.
Key Features:
- AutoML for model building
- Hyperparameter tuning for better performance
- Managed infrastructure for ML model deployment
Pricing: Pay-as-you-go
Pros: Powerful for large datasets and real-time inference
Cons: Can become expensive based on usage
11. Amazon Q Developer
Amazon Q Developer is an AI assistant that helps developers manage AWS services and optimize code across the software development lifecycle.
Key Features:
- Natural language queries for AWS-related questions
- AWS service integration
- Cost and resource management
Pricing: Free tier available, Pro tier starts at $19/month
Pros: Excellent for developers within the AWS ecosystem
Cons: Limited outside AWS
12. CodiumAI
CodiumAI specializes in generating unit tests, analyzing code behavior, and offering insights to ensure reliable, bug-free code.
Key Features:
- AI-generated unit tests
- Context-aware test coverage insights
- Automated test case generation
Pricing: Free Developer Plan, Teams from $19/month
Pros: Automates unit test generation
Cons: Supports fewer languages
13. MutableAI
MutableAI helps developers optimize code quality by suggesting refactoring improvements and automating code documentation.
Key Features:
- Code refactoring and optimization
- AI-based code suggestions
- Automated documentation generation
Pricing: Free for open-source, paid plans available
Pros: Customizes suggestions based on your team’s coding style
Cons: Requires setup for optimal results in larger teams
14. AskCodi
AskCodi allows developers to query natural language questions and receive corresponding code suggestions in multiple languages.
Key Features:
- Natural language queries
- Snippet repository
- Code documentation generation
Pricing: Free for basic features, paid plans from $34.99/month
Pros: Great for both beginners and experienced developers
Cons: May require adjustments for complex code
15. Microsoft IntelliCode
IntelliCode is a machine learning-powered code completion tool integrated into Visual Studio and VS Code.
Key Features:
- Hotspot identification
- Machine learning-based code recommendations
- Code formatting assistance
Pricing: Free for Visual Studio and VS Code users
Pros: Improves productivity within popular IDEs
Cons: Limited to IDE-based suggestions
16. CodeGeeX
CodeGeeX uses AI to provide code generation and autocompletion. It supports multiple languages and integrates well with IDEs.
Key Features:
- AI-powered code generation
- Multi-language support
- Cloud-based AI model
Pricing: Free for individual users
Pros: Supports a wide range of languages
Cons: Relies on cloud-based AI
17. OpenAI Codex
OpenAI Codex is an AI model designed for code generation and interpretation. It is the foundation for tools like GitHub Copilot.
Key Features:
- Generates code from natural language instructions
- Powers GitHub Copilot and other tools
Pricing: Usage-based (depending on the tool using Codex)
Pros: Powerful code generation from plain text
Cons: Replaced by GPT-3.5 Turbo and GPT-4 for broader tasks
Top comments (2)
Codium is now Qodo @apilover
great list