Tired of spending hours on tasks like code formatting, debugging, and writing boilerplate code? AI coding tools can change your development workflow for the better, helping you write better code faster and more efficiently.
In this guide, we'll explore the best AI tools for coding in 2024. We’ll be covering a wide range of categories from code completion and suggestions to security and bug detection. We'll also provide detailed reviews and comparisons to help you choose the right tool for your needs.
Here's what you'll find in this article:
- Overview of the different types of AI coding tools
- An explanation of how we chose our top tools
- Top 20 AI coding tools with reviews
The best AI tools for coding: Quick guide
Need a quick cheat sheet to find the best AI for coding? Here's a rundown of the top contenders:
- GitHub Copilot: Best for generating code suggestions in real-time within your IDE.
- Tabnine: Best for privacy-conscious developers and teams who want customizable AI assistance.
- Lindy: Best for automating laborious and boring non-coding tasks.
- Replit Ghostwriter: Best for those who prefer an online IDE and want an integrated AI coding assistant.
- Amazon Q Developer: Best for developers working extensively with AWS services and infrastructure.
- Qodo: Best for automating unit test generation and improving code quality.
- Cursor: Best for automating repetitive coding tasks and improving code structure.
- Microsoft IntelliCode: Best for developers who primarily use Visual Studio or VS Code and want an integrated AI assistant.
- Sourcegraph's Cody: Best for navigating and understanding large codebases, especially in enterprise environments.
- Codiga: Best for enforcing coding standards, improving code quality, and identifying potential issues early on.
- ChatGPT: Best for generating code, debugging, and getting answers to coding questions in natural language.
- DeepCode AI by Snyk: Best for identifying and fixing security vulnerabilities in your code.
- Hugging Face: Best for exploring and experimenting with a wide range of pre-trained AI models for code generation and related tasks.
- PolyCoder: Best for developers who want a fast and efficient open-source code generation tool.
- aiXcoder: Best for developers who want a comprehensive AI coding assistant that can help with various tasks.
- Ponicode: Best for generating code from natural language descriptions and improving code quality.
- Claude: Best for developers who want a versatile language model that can assist with various coding-related tasks.
- Plandex: Best for managing complex coding projects and automating workflows using persistent agents.
- CodeGeeX: Best for developers who want a powerful and versatile AI code generation tool that supports multiple programming languages.
- Sourcery: Best for automating code refactoring and improving code quality.
How we chose the best AI tools for coding
Finding the best AI for coding can be tricky, so we've done the hard work for you. We've put together a list of the top AI coding tools, evaluating each one based on a set of key features and criteria. Here's a peek at what we looked for:
- Code completion and assistance: Let's be honest, nobody wants an AI tool that throws out random suggestions. We made sure each tool provides accurate, real-time code suggestions and completion across popular languages and IDEs.
- Debugging and error detection: We all make mistakes, but catching them early can save a ton of time and frustration. Tools with integrated debugging capabilities or helpful error suggestions got a big thumbs up from us.
- Language support: Developers often work with multiple languages and frameworks, so we prioritized tools that offer broad language support. The more versatile the tool, the better.
- Ease of integration: Nobody wants to spend hours wrestling with complicated integrations. We looked for tools that seamlessly integrate with popular IDEs and platforms, making it easy to incorporate them into your workflow.
Secondary features we considered
Beyond the essentials, we also considered some features that can make a big difference. We looked at how well each tool can be customized for team workflows, whether it offers AI-driven test generation, and how well it scales for larger teams.
Security and privacy are also important, so we evaluated how each tool handles your code data. And of course, nobody wants to break the bank, so we made sure to consider pricing plans as well.
The 20 best AI tools for coding
1. GitHub Copilot
GitHub Copilot is one of the most popular AI coding tools available. It works by analyzing your code and comments to provide suggestions for code completions, and can even generate entire functions in real-time.
Copilot's training on a massive dataset of public code allows it to adapt to various coding styles and offer relevant suggestions in numerous programming languages.
Key features
- Multilingual proficiency: Copilot supports a wide array of programming languages, including popular choices like Python, JavaScript, TypeScript, Ruby, Go, and more. This makes it a versatile tool for developers working across different projects and tech stacks.
- Contextual understanding: Copilot doesn't just throw out random code snippets; it analyzes your existing code and comments to understand the context of what you're trying to achieve. This allows it to provide more accurate and relevant suggestions.
- IDE integration: Copilot integrates with popular code editors like VS Code, Neovim, and JetBrains IDEs. This means you can get AI assistance without leaving your preferred coding environment.
Ideal users
Developers who want to increase their coding speed and efficiency, especially those working on projects with tight deadlines. It's also useful for developers who are learning new languages or frameworks, as Copilot can help them get up to speed quickly.
Pricing
GitHub Copilot has a free tier. Paid options start at $10 per month with their Pro tier.
Bottom line
Copilot can be a great productivity booster, but it's not without its drawbacks. It can sometimes generate incorrect or inefficient code, and relying too heavily on it can hinder a developer's learning and problem-solving skills.
It's also worth noting that Copilot's reliance on public code has raised some concerns about potential licensing issues.
2. Tabnine
Tabnine is an AI code completion tool that prioritizes privacy. It offers both cloud-based and local models, giving developers control over how their code is used for training. Tabnine supports a wide range of programming languages and IDEs, making it a flexible option for individual developers and teams.
Key features
- Privacy-conscious: Tabnine offers the choice between cloud-based and local AI models. Local models ensure that your code stays on your machine, addressing concerns about data privacy and security, especially for sensitive projects.
- Team-based Learning: Tabnine allows teams to create custom AI models trained on their shared codebase. This ensures that the suggestions are aligned with the team's coding style, conventions, and best practices.
- Whole-line and full-function completions: Tabnine goes beyond single-word suggestions. It can predict and complete entire lines of code or even suggest complete functions based on your context, significantly speeding up development.
Ideal users
Developers who value privacy and want an AI assistant that can adapt to their team's coding style. Tabnine is also a good option for developers working with less common languages or frameworks, as its models can be trained on specific codebases.
Pricing
Their first paid tier is called Dev and it’s free for 30 days. After the trial period is done, it costs $9 a month.
Bottom line
Tabnine is a solid choice for developers who are concerned about privacy and want an AI assistant that can learn from their team's code. However, the free version can be limiting, and some developers might find the suggestions less accurate compared to tools trained on larger datasets.
3. Lindy
Lindy is a platform primarily designed to help you build AI agents (called “Lindies”) through a no-code interface. This means you can automate those other tasks that get in the way of coding.
While most AI coding apps focus on helping you write code, Lindy takes a different approach.
Think of these agents as your personal AI assistants that handle the busy work so you can focus on what matters most. Need to send a quick email update to your team? Lindy can do that. Have to schedule a last-minute meeting with a client? Lindy's got you covered. Customer support tickets piling up? Let Lindy handle them.
It's easy to use and can be customized to fit your specific workflow.
Key features
- Automate email: Lindy assists in triaging incoming messages, drafting responses based on your knowledge base, and involving you when necessary for oversight. It’s a balm for devs struggling with an inbox bloated with user messages.
- Smart meeting scheduling: By being CC'd in email threads, Lindy accesses your calendar to suggest available times, proposes them to participants, and finalizes meeting details. That means less time scheduling and more time on coding and bug-fixing.
- Effortless PR management: Lindy can generate pull requests, adding descriptions, and tagging reviewers, simplifying your code review process.
- AI-powered support: Lindy integrates with your app to provide quick, accurate answers to user questions by accessing your existing knowledge base.
You can build your own chatbots, customize their appearance, set greeting messages, and define conversation starters to align with your brand.
- Customizable workflows: Lindy enables the creation of tailored workflows through features like webhook triggers and file querying, allowing automation of tasks such as initiating processes via custom API calls and retrieving specific data from documents.
Ideal users
Lindy is a great app for any dev who wants to reclaim their time and focus on coding. It's especially useful for busy developers who are juggling multiple projects and don't have time to waste on administrative tasks.
Pricing
Lindy offers a free plan and a Pro plan starting at $49.99 per month.
Bottom line
Lindy is a powerful addition to any developer’s toolkit for workflow automation. If you’re looking to reduce friction in your development process and automate those pesky and redundant tasks, Lindy is the way to go.
4. Replit Ghostwriter
Replit Ghostwriter is an AI coding assistant that's directly integrated into the Replit online IDE. This makes it a convenient option for developers who already use or prefer working in the Replit environment. Ghostwriter provides real-time code suggestions, autocompletions, and even assists with debugging.
Key features
- Direct Replit integration: Ghostwriter is built directly into the Replit online IDE, providing a smooth and unified coding experience. You can access AI assistance without switching between applications or environments.
- Real-time collaboration with AI: Replit's collaborative coding features, combined with Ghostwriter, allow developers to work together on projects in real-time while benefiting from AI assistance. This enhances teamwork and knowledge sharing.
- Continuous learning: Ghostwriter learns from your coding patterns and preferences over time. The more you use it within Replit, the more accurate and personalized its suggestions become.
Ideal users
Developers who prefer working in an online IDE and want a readily available AI assistant within their coding environment. It's also a good choice for those who frequently collaborate on coding projects.
Pricing
Included with the Replit Core plan, which starts at $25 per month.
Bottom line
Replit Ghostwriter is a convenient option for Replit users, but its features might not be as comprehensive as some standalone AI coding tools. Its reliance on the Replit environment can also be a limitation for developers who prefer other IDEs or local development setups.
5. Amazon Q Developer
Amazon Q Developer is an AI-powered coding assistant from AWS that's designed to streamline the entire software development lifecycle within the AWS ecosystem. It provides real-time code suggestions, assists with debugging, and even offers solutions for planning and upgrading code.
Key features
- Deep AWS integration: Q Developer is tightly integrated with various AWS services, making it particularly useful for developers building cloud-native applications on AWS. It can help with tasks like setting up AWS Lambda functions, interacting with S3 buckets, and managing other AWS resources.
- Natural language interaction: You can interact with Q Developer using natural language, asking questions about AWS services, and best practices, and even getting code suggestions without having to remember specific commands or syntax.
- Cost and performance optimization: Q Developer can help you analyze your AWS resource usage and identify areas where you can optimize costs or improve the performance of your applications.
Ideal users
Developers who are heavily invested in the AWS ecosystem and want an AI assistant that can help them navigate the complexities of AWS services and optimize their cloud infrastructure.
Pricing
Free tier available for basic usage. The Pro tier starts at $19 per user per month.
Bottom line
Amazon Q Developer is a valuable tool for AWS developers, but its focus on AWS can be a limiting factor for developers working with other cloud providers or on-premises infrastructure.
Also, while its natural language interface is convenient, it might not always provide the most accurate or efficient solutions.
6. Qodo
Qodo (formerly known as CodiumAI) is an AI-powered coding tool that focuses on improving code quality through automated unit test generation.
It analyzes your code to understand its logic and automatically creates meaningful test cases, ensuring that your code behaves as expected under various conditions. This can be a time-saver for devs who normally spend a significant amount of time writing unit tests manually.
Key features
- AI-powered test generation: Qodo analyzes your code and automatically generates unit tests that are tailored to the specific logic of your code. This ensures that the tests are relevant and effective at catching potential bugs.
- Contextual test creation: Qodo goes beyond generating generic tests. It analyzes the context of your code to create targeted tests that cover different scenarios and edge cases, ensuring comprehensive test coverage.
- Test coverage analysis: Qodo provides insights into how well your code is covered by tests. It highlights areas that lack sufficient testing and recommends additional test cases to improve overall code quality and reliability.
Ideal users
Developers who want to improve the quality of their code and make sure that it is thoroughly tested. Qodo is particularly useful for developers working on complex projects with many dependencies, as it can help to identify potential issues early on in the development process.
Pricing
Free Developer plan available. Teams and Enterprise plans start at $19 per user per month.
Bottom line
Qodo is a valuable tool for automating unit testing and improving code quality, but it currently supports a limited number of programming languages. This can be a drawback for developers working with less common or specialized languages.
7. Cursor
Cursor is an AI-powered coding assistant designed to boost developer productivity by providing intelligent code suggestions, simplifying routine processes, and offering refactoring suggestions. It aims to streamline the coding process and improve overall code quality.
Key features
- AI-powered code suggestions: Cursor offers intelligent, real-time code suggestions based on the context of what you’re writing. This can help prevent common errors and accelerate coding speed.
- Autocompletion and syntax correction: Cursor provides autocompletion to help developers write code faster. It also checks for syntax errors, ensuring that the code follows best practices and avoids common pitfalls.
- Collaboration tools: Cursor enables multiple developers to work together in real time, sharing code suggestions and debugging solutions. It also integrates well with popular version control systems, including Git, to facilitate collaborative workflows.
Ideal users
Developers who want to automate mundane tasks like autocompleting code, identifying syntax errors, and improving code structure. Cursor is also a good option for teams who want to collaborate on coding projects in real time.
Pricing
Free Hobby plan with limited features. Pro and Business plans start at $20 and $40 per month respectively.
Bottom line
Cursor is a useful tool for doing away with the dreaded drudgery of redundant tasks and improving code structure, but it may not be as effective at solving more creative or abstract coding problems that require human insight.
8. Microsoft IntelliCode
Developed by Microsoft, IntelliCode is an AI-powered coding assistant that's built directly into Visual Studio and Visual Studio Code.
It provides intelligent code completions and suggestions to help developers write code faster and with fewer errors. IntelliCode is trained on a large dataset of open-source code, allowing it to learn common coding patterns and provide relevant suggestions.
Key features
- IDE integration: IntelliCode is seamlessly integrated into Visual Studio and Visual Studio Code, providing a smooth and unified coding experience within these popular IDEs.
- Intelligent suggestions: IntelliCode provides intelligent code completions and suggestions, taking into account the context of your code and common coding patterns. This helps you write code faster and with fewer errors.
- Team completions: For teams working on shared codebases, IntelliCode can learn from your team's code and provide suggestions that are tailored to your specific coding style and conventions.
Ideal users
Developers who primarily use Visual Studio or Visual Studio Code and want an AI assistant that's readily available within their coding environment. It's also a good choice for teams who want to improve code consistency and share coding knowledge.
Pricing
IntelliCode is included with Visual Studio (starts at $99 per month) and Visual Studio Code.
Bottom line
IntelliCode is a convenient option for Visual Studio and VS Code users, but its tight integration with these IDEs can be a limitation for developers who prefer other coding environments. While it offers helpful suggestions, its capabilities might not be as advanced as some standalone AI coding assistants.
9. Sourcegraph’s Cody
Cody is an AI coding assistant developed by Sourcegraph. It's designed to help developers by providing intelligent code suggestions, automating routine operations, and improving code search and comprehension.
It integrates with Sourcegraph’s code intelligence platform, allowing developers to search, understand, and generate code within their workflow.
Key features
- Integrated code search: Cody is deeply integrated with Sourcegraph’s code search capabilities. This allows you to use Cody to not only get coding suggestions but also to search for and understand code across large and complex codebases, even spanning multiple repositories.
- Codebase-aware suggestions: Cody leverages Sourcegraph’s indexing and cross-repository code intelligence to provide suggestions that are not just based on public datasets but also on your own codebase. This makes the suggestions more relevant to your specific project and coding style.
- Cross-repository insights: Cody allows developers to quickly understand how similar functions or components are implemented across different parts of a large, multi-repository project.
Ideal users
Developers working on large-scale projects or within enterprise environments with extensive codebases. Cody is particularly useful for those who need to understand how different parts of a project are interconnected and maintain consistency across a large codebase.
Pricing
Free version available for individual developers with basic AI-powered code suggestions. Enterprise plans start at $19 per month, offering more advanced features and support.
Do keep in mind that their code search feature must be paid separately or purchased as a bundle with Cody.
Bottom line
Cody is a powerful tool for developers working with large codebases, but it can take some time for the AI to fully learn and adapt to very complex, enterprise-level projects. The initial setup and integration with private environments may also require some effort.
10. Codiga
Codiga is an AI-powered coding assistant and static code analysis tool (now part of Datadog) designed to help developers write cleaner, safer, and more efficient code. It’s,
It integrates into popular IDEs and code repositories to provide intelligent code suggestions, automate repetitive coding tasks, and enforce best practices through its static analysis capabilities.
Key features
- Real-time static code analysis: Codiga continuously checks for bugs, code smells, security vulnerabilities, and inefficiencies as you write code. This helps you spot and address potential issues early on, preventing them from becoming larger problems later in the development process.
- AI-powered code suggestions: Codiga offers intelligent code completions that can autocomplete entire lines or code blocks. These suggestions are context-aware, meaning Codiga understands the structure of your code and tailors its recommendations based on best practices for the specific language or framework you are using.
- Customizable code snippets (recipes): Codiga allows developers to create and share reusable code snippets, known as "recipes." These recipes can be tailored to specific coding patterns, algorithms, or team coding standards, promoting consistency and efficiency across projects.
Ideal users
Developers who want to enforce coding standards and best practices across their projects. Codiga is also useful for teams who want to improve code quality and reduce the risk of bugs and security vulnerabilities.
Pricing
In order to get a quote, you’ll have to fill out a form.
Bottom line
Codiga is a valuable tool for improving code quality and security, but configuring custom rules and fine-tuning the static analysis engine can require some initial setup and learning, especially for larger teams.
11. ChatGPT
ChatGPT, while not specifically designed as a coding tool, is a powerful language model that can be surprisingly helpful for various coding-related tasks, like those explained below.
Key features
- Code generation and explanation: ChatGPT can generate code snippets in multiple programming languages based on your instructions. It can also explain existing code, helping you understand its functionality.
- Debugging assistance: While not a full-fledged debugger, ChatGPT can help you identify potential issues in your code by analyzing it and providing suggestions for improvement.
- Learning and exploration: ChatGPT can be a valuable tool for learning new programming concepts or exploring different coding approaches. You can ask it questions about specific functions, libraries, or frameworks, and it can provide helpful explanations and examples.
Ideal users
Developers who are looking for a versatile tool that can assist with various coding-related tasks, from generating code snippets to understanding complex concepts. It's also useful for beginners who are learning to code and need help with basic concepts and problem-solving.
Pricing
ChatGPT offers a free plan with limited features. The paid plan, ChatGPT Plus, costs $20 per month.
Bottom line
ChatGPT can be a helpful resource for coding, but it's important to remember that it's a language model, not a dedicated coding tool. It can sometimes generate incorrect or inefficient code, and it's crucial to review its output carefully.
12. DeepCode AI by Snyk
DeepCode AI, now a part of Snyk, is an AI-powered code analysis tool that specializes in identifying security vulnerabilities in your code.
It goes beyond traditional static analysis by using machine learning to detect patterns and potential security risks that might be missed by other tools. DeepCode AI also provides suggestions for improving code quality and performance.
Key features
- Real-time vulnerability detection: DeepCode AI analyzes your code in real time, identifying potential security vulnerabilities as you write code. This helps you address security concerns early on in the development process, preventing them from becoming larger issues later.
- Security-focused analysis: DeepCode AI is specifically trained to identify security vulnerabilities, including common issues like SQL injections, cross-site scripting (XSS), and other coding patterns that could be exploited by attackers.
- Integration with Snyk's security platform: DeepCode AI is integrated into the Snyk platform, providing access to a wider range of security features, including open-source dependency scanning, container security, and infrastructure-as-code security. This gives you a more complete approach to securing your applications.
Ideal users
Developers who prioritize security and want to make 100% sure that their code is free from vulnerabilities. DeepCode AI is particularly useful for teams working on projects that handle sensitive data or that require high levels of security compliance.
Pricing
Free plan available with basic vulnerability detection and automated code analysis. Team and Enterprise plans start at $25 per month per product, offering more advanced features and support.
Bottom line
DeepCode AI is a valuable tool for security-conscious developers, but scanning large codebases can sometimes be time-consuming. The integration with Snyk, while offering a broader security platform, can also add complexity and cost, especially for smaller teams or projects.
13. Hugging Face
Hugging Face is an open-source platform that provides a wide range of AI tools and resources, including those focused on code generation and completion. It's well-known for its extensive library of pre-trained models, including transformer-based models that can be used for various coding tasks.
Key features
- Vast model library: Hugging Face offers a vast repository of pre-trained AI models for different applications, including code generation, code completion, and code translation. These models, particularly the transformer-based models, can be fine-tuned or used out-of-the-box for various coding tasks.
- Open-source and community-driven: Hugging Face is an open-source platform with a strong community focus. This makes it a valuable resource for developers who want to explore and contribute to the development of AI coding tools.
- Spaces for model deployment: Hugging Face offers "Spaces," a platform where developers can create and deploy machine learning apps, including AI coding environments. This allows you to easily share your models and tools with others.
Ideal users
Developers who are comfortable working with open-source tools and who want to explore a wide range of pre-trained models for code generation and related tasks. Hugging Face is also a good choice for those who want to contribute to the development of AI coding tools and be part of a vibrant community.
Pricing
Free tier available with access to basic features and models. Pro and Enterprise plans start at $9 and $20 per month each — both offering more advanced features, support, and private model hosting.
Bottom line
Hugging Face is a valuable resource for developers interested in AI coding tools, but it can be overwhelming for beginners due to the sheer number of available models and resources. Some of the larger models can also be computationally demanding, requiring significant resources to run effectively.
14. PolyCoder
PolyCoder is an open-source coding assistant trained on a massive dataset of code in 12 programming languages. It's designed for code generation and completion tasks and is known for its speed and efficiency, making it a compelling option for developers who want a fast and flexible tool.
Key features
- Open-source and accessible: PolyCoder is open-source, making it freely available for developers to use, modify, and contribute to. This promotes transparency and allows for community-driven development and improvement.
- Fast and efficient code generation: PolyCoder is designed for speed and efficiency, making it a good choice for developers who need to generate code quickly. It can handle various code generation tasks, including generating code from natural language descriptions or completing code snippets.
- Multilingual support: PolyCoder supports a variety of programming languages, making it a versatile tool for developers working across different projects and technologies.
Ideal users
Developers who are looking for a fast and efficient open-source code generation tool. PolyCoder is also a good option for those who want to experiment with and contribute to the development of AI coding tools.
Pricing
Free to use.
Bottom line
PolyCoder is a promising open-source tool, but it might not be as accurate or reliable as some of the more established commercial AI coding assistants. It's still under active development, and its capabilities may continue to evolve.
15. aiXcoder
aiXcoder is an AI-powered coding assistant that aims to improve developer productivity by providing intelligent code suggestions and autocompletion features. It also assists with tasks like code refactoring and debugging, making it a complete tool for facilitating the coding process.
Key features
- Intelligent code completion: aiXcoder provides intelligent code suggestions and autocompletion, helping you write code faster and with fewer errors. It learns from your coding patterns and preferences to provide more relevant suggestions over time.
- Code refactoring support: aiXcoder can help you refactor your code to improve its structure, readability, and maintainability. It can suggest improvements and even automate some refactoring tasks.
- Real-time code analysis: aiXcoder analyzes your code in real time, identifying potential issues and suggesting fixes. This helps you catch errors early on and maintain code quality.
Ideal users
Developers who are looking for an AI coding assistant that can help them with a variety of tasks, from code completion to refactoring and debugging.
Pricing
Pricing information is not readily available.
Bottom line
aiXcoder can be a helpful tool for improving coding efficiency and quality, but the lack of transparent pricing information can be a drawback. It's essential to evaluate its features and capabilities in the context of your specific needs and budget.
16. Ponicode
Acquired by CircleCI, Ponicode is an AI-powered coding assistant designed to help developers write better code. It uses natural language processing and machine learning to generate code from user-defined descriptions, making it easier to translate ideas into code. Ponicode also helps with tasks like code refactoring and documentation.
Key Features
- Code generation from natural language: Ponicode allows you to describe what you want your code to do in natural language, and it will generate the corresponding code for you. This can be a helpful way to quickly prototype ideas or generate boilerplate code.
- Code refactoring and optimization: Ponicode can help you refactor your code to improve its structure, readability, and efficiency. It can suggest improvements and even automate some refactoring tasks.
- Automated code documentation: Ponicode can help you generate code documentation, making it easier to maintain and understand your codebase.
Ideal users
Developers who want to speed up their coding process and reduce the time spent on repetitive tasks. Ponicode is also useful for those who want to improve the quality and maintainability of their code.
Pricing
Since its acquisition by CircleCI, Ponicode now follows their pricing structure. With a free tier and a performance plan that starts at $15 per month.
Bottom line
Ponicode can be a helpful tool for generating code and improving code quality, but the lack of clear pricing information can be a barrier to entry. It's essential to evaluate its features and capabilities in the context of your specific needs and budget.
17. Claude
Claude is a large language model developed by Anthropic. While not exclusively a coding tool, Claude's advanced natural language processing capabilities make it useful for various coding-related tasks, including code generation, translation, and explanation.
Key features
- Code generation and translation: Claude can generate code in multiple programming languages based on natural language descriptions or translate code between different languages.
- Code explanation and documentation: Claude can explain existing code, helping you understand its functionality and purpose. It can also assist with generating code documentation.
- Advanced reasoning and problem-solving: Claude is designed for complex reasoning and problem-solving, making it useful for tackling challenging coding tasks or understanding intricate code structures.
Ideal users
Developers who are looking for a versatile language model that can assist with various coding-related tasks, from code generation to understanding complex codebases.
Pricing
Claude has a free tier, and paid tiers start at $18 per month with limited functionalities.
Bottom line
Claude is a powerful language model with potential for coding applications, but its lack of specific coding features and unclear pricing might make it less appealing compared to dedicated AI coding assistants.
18. Plandex
Plandex is an open-source AI coding assistant that uses persistent agents to tackle extensive coding tasks that often span multiple files and involve multiple steps. It's designed to help developers manage complex projects and automate workflows.
Key features
- Persistent agents for complex tasks: Plandex employs persistent agents that can handle long-running coding tasks, breaking them down into smaller, manageable subtasks and executing them sequentially. This is useful for tasks that require multiple steps or interactions with different parts of a codebase.
- Workflow automation: Plandex can automate various coding workflows, helping you manage tasks, track progress, and ensure that nothing falls through the cracks.
- Open-source and extensible: Plandex is open-source, allowing developers to contribute to its development, customize it to their needs, and extend its functionality.
Ideal users
Developers working on large and complex projects who need help managing tasks, automating workflows, and keeping track of progress. It's also a good choice for those who are comfortable working with open-source tools and want to contribute to their development.
Pricing
Open-source and free to use.
Bottom line
Plandex is a valuable tool for managing complex coding projects and automating workflows, but its open-source nature might mean a steeper learning curve and less polished user experience compared to commercial alternatives.
19. CodeGeeX
CodeGeeX is a powerful AI code-generation tool that supports multiple programming languages. It provides intelligent code suggestions, autocompletion, and other productivity-enhancing features designed to streamline the coding process and help developers write code more efficiently.
Key features
- Multilingual code generation: CodeGeeX supports a wide variety of programming languages, making it a versatile tool for developers working across different projects and technologies.
- AI-powered code suggestions: CodeGeeX provides intelligent code suggestions and autocompletion, helping you write code faster and with fewer errors. It learns from your coding patterns and preferences to provide more relevant suggestions over time.
- Cloud-based model: CodeGeeX operates via a cloud-based AI model, providing high-quality code suggestions without requiring significant local resources. This can be beneficial for developers working on less powerful machines.
Ideal users
Developers who are looking for a versatile and efficient AI code generation tool that supports multiple programming languages. CodeGeeX is also a good option for those who prefer a cloud-based solution that doesn't require significant local processing power.
Pricing
Free for individual users.
Bottom line
CodeGeeX is a powerful tool for code generation, but its cloud-based nature might raise concerns for developers working with sensitive code or in environments with strict data privacy requirements.
20. Sourcery
Sourcery is an AI-powered code refactoring tool that helps developers improve the quality and maintainability of their code. It analyzes your code, identifies potential issues, and suggests improvements, and can even automatically refactor your code for you, saving you time and effort.
Key features
- Automated code refactoring: Sourcery analyzes your code and suggests improvements, including simplifying complex logic, breaking down large functions, removing redundant code, and applying best practices. It can also automatically apply these refactorings, saving you time and effort.
- Continuous code quality improvement: Sourcery integrates with your development workflow, providing continuous feedback on your code and helping you maintain high code quality over time.
- Support for multiple languages: Sourcery supports several popular programming languages, making it a versatile tool for developers working across different projects and technologies.
Ideal users
Developers who want to improve the quality and maintainability of their code and who are looking for a tool to help them automate the refactoring process. Sourcery is also useful for teams who want to enforce coding standards and best practices.
Pricing
Free to use for open-source projects. Pro and Enterprise plans start at $10 per user per month, offering more advanced features and support.
Bottom line
Sourcery is a valuable tool for code refactoring and quality improvement, but it can be expensive, especially for larger teams. It's important to evaluate its features and pricing in the context of your specific needs and budget.
Categories of AI tools for coding
When it comes to the best AI for coding, there are different types of tools, each with its own strengths. Here’s a quick rundown of the main categories:
- Code completion and suggestions: These tools act like your coding buddy, providing helpful suggestions and even autocompleting code as you type. Some examples include GitHub Copilot, Tabnine, Amazon Q Developer, and IntelliCode.
- Code review and test generation: Think of these tools as your code quality control, helping you find and fix errors and even automatically generating tests to make sure your code is solid. Qodo and DeepCode (Snyk) are good examples of this category.
- Codebase navigation and search: When you're working with a massive codebase, these tools can be a lifesaver. They help you quickly navigate and understand your code, making it easier to find what you need and fix any issues. Sourcegraph's Cody is a prime example.
- Workflow automation: These tools are all about taking care of those tedious, repetitive tasks that can bog you down. They automate things like sending emails, scheduling meetings, and managing issues, freeing you up to focus on the code. Lindy is a great example of this.
- Conversational AI for coding: If you've ever wished you could just talk to your code, these tools are for you. They let you generate code, debug it, and even get answers to your coding questions using natural language. ChatGPT and Claude are leading the way in this category.
- Security and bug detection: Security is paramount, and these tools help you identify and fix vulnerabilities in your code, keeping your applications safe from attacks. DeepCode and PolyCoder are examples of tools that can help you with this.
How Lindy improves your development workflow
Lindy is a powerful AI tool that helps with your development workflow and boosts your productivity. It does this by providing a unified platform for your AI coding tools, automating recurring workflows, and scaling to support your entire team. Let’s take a closer look:
Integration with development tools and beyond
Lindy takes your development workflow to the next level by integrating with GitHub, allowing you to automate tasks such as updating issue details, listing repository issues, and managing pull requests. This integration makes your processes smoother, letting you focus more on coding and problem-solving.
Note: Lindy integrates with loads of apps and tools, so make sure to check out all of Lindy’s integrations.
Automated task management
Lindy's agents called “Lindies” can be configured to automate various aspects of the development workflow. Through delegation, you can create a society of Lindies.
For instance, one Lindy can monitor code repositories like GitHub for updates, another can handle notifications to team members over Slack, and a third can manage documentation updates. They all work on their own and you can jump in at any time during the loop.
Scalable for teams
Lindy's flexible pricing structure makes it an ideal solution for dev teams of all sizes. The Free plan offers 400 credits per month at no cost, allowing small teams to explore and implement automation without financial commitment.
As your team's needs grow, Lindy provides scalable options to accommodate increased demands with Pro and Business tiers — each with a slider for finer pricing adjustments. This adaptability helps you make sure that as projects expand, your workflow remains cost-effective.
Finishing up
If you're ready to ditch those tedious tasks that keep you from coding and embrace a smarter way of working, Lindy is your go-to AI platform.
From automating those pesky emails and meetings to managing issues and pull requests, Lindy is your trusty sidekick, freeing you up to focus on what you do best — writing excellent code.
But Lindy is more than just a tool for automating tasks. Lindy is your AI-powered partner for simplifying your entire development workflow and boosting your productivity. With Lindy, you can work smarter, not harder.
Ready to experience the Lindy difference? Try Lindy for free today and discover how she can take your development workflow to the next level.
