Artificial intelligence is transforming software development. As developers, we now have access to a growing array of AI-powered tools that can make us more productive, efficient, and creative. In this article, I will discuss the top AI tools that developers should know about in 2024.
These tools leverage machine learning and natural language processing to automate repetitive coding tasks, generate code, debug programs, test software, suggest improvements, and more. Whether you are building a web application, mobile app, or any other type of software, incorporating AI can accelerate your workflow.
The key benefits include reduced development time, higher quality code, and the ability to build more ambitious projects. I will cover developer-focused AI writing assistants, automated code generation platforms, smart IDE plugins, advanced code search tools, and testing suites. By integrating the right combination of these AI tools into your process, you can save time, minimize errors, discover vulnerabilities earlier, and bring your ideas to life faster than ever before.
What are AI Developer Tools?
Specifically, AI coding assistants can analyze codebases to generate relevant code snippets and entire functions, identify potential bugs, perform automated testing, speed up debugging, and more.
Furthermore, the growing integration of AI tools into software development workflows is driven by the pressing need to accelerate release cycles and improve code quality as products become increasingly complex.
AI enables more efficient planning, faster coding, robust testing, and continuous maintenance. Its ability to handle tedious coding tasks and augment human capabilities makes AI indispensable for modern software teams aiming to gain a market edge.
How does AI play a role in Developers' work?
AI is transforming software development in two key ways – by automating repetitive coding tasks and by enabling the creation of smarter, more capable applications.
First, by automating repetitive coding tasks. AI tools can scan codebases to identify issues, suggest fixes, generate boilerplate code, and handle tedious tasks like testing, code reviews, and documentation. This automation enables developers to spend time on more complex problem-solving and creative challenges instead of mundane work.
For example, AI testing tools can automatically generate test cases and find bugs, freeing up developers to focus on designing innovative features.
Second, AI allows developers to build more intelligent, user-centric software products. By analyzing usage data, AI can surface insights into user needs and behavior. Developers can leverage these insights to create personalized, context-aware applications with capabilities like recommendations and natural language processing.
For instance, an e-commerce site can use AI to analyze customer data and preferences to display the most relevant products to each user.
With AI powering software development, the possibilities are endless when it comes to creating experiences that wow end users.
However, developers still play a crucial role in designing robust systems, ensuring quality, and using sound judgment to apply AI responsibly.
List of 12 Best AI Tools for Developers in 2024
Let me show you some of the top AI developers and coding assistants that are making waves in the software development industry with their extraordinary development capabilities. Refer to the table below to know how much they cost and what are their user ratings:
|Best AI Tools for Developers
|1. GitHub Copilot
|$10 per month
|$20 per month
|3. Amazon CodeWhisperer
|$12 per month
|$9.99 per month
|8. Cody by Sourcegraph
|$9 per month
|$28 per month
|4.8/5 (Product Hunt)
|5/5 (Product Hunt)
|$10 per month
|4.9/5 (Product Hunt)
|$7 per month
GitHub Copilot is an AI-powered tool developed by GitHub and OpenAI that acts as a pair programmer, offering autocomplete-style suggestions as developers code.
It provides contextualized assistance throughout the software development lifecycle, from code completions and chat assistance in the IDE to code explanations and answers to docs.
Copilot is capable of transforming natural language prompts into coding suggestions based on the project's context and style.
It can also preview a code referencing feature, which searches across public GitHub repositories for code that matches a Copilot suggestion. This feature is currently available in Visual Studio Code.
GitHub Copilot is trained on all languages that appear in public repositories, with the quality of suggestions depending on the volume and diversity of training data for each language.
GitHub Copilot Pricing:
|GitHub Copilot Individual (Monthly)
|$10 per month
|GitHub Copilot Individual (Yearly)
|$100 per year
|GitHub Copilot Business
|$19 per user per month
ChatGPT, developed by OpenAI, is a powerful AI Developer Assistant that leverages advanced natural language processing techniques to assist developers in their coding tasks.
Its key features include code generation, which allows it to write code based on user prompts, and contextual code suggestions, which provide developers with relevant code snippets based on the desired functionality.
It also offers research assistance, helping developers explore coding ideas, brainstorm solutions, and receive guidance along their coding journey.
The AI assistant is capable of engaging in natural language conversations, simulating human-like interactions to assist, and reducing tedium by performing repetitive tasks, thereby increasing efficiency.
|$20 per user (billed monthly)
|$25 per user (billed monthly)
Amazon CodeWhisperer is a machine learning-powered code generator that provides real-time code suggestions, ranging from snippets to full functions, based on your comments and existing code.
It supports popular programming languages and IDEs and is optimized for use with AWS services, making it more efficient for developers to use AWS services by providing code suggestions that meet AWS best practices.
CodeWhisperer can generate entire functions and logical blocks of code, often consisting of up to 10–15 lines, matching your style and naming conventions.
It also includes built-in security scans and AI-powered code remediation, identifying potential vulnerabilities in your code and providing remediation suggestions.
Furthermore, it provides users or groups access using single sign-on (SSO) with AWS IAM Identity, allowing for the management of group-wide policies.
Amazon CodeWhisperer Pricing:
|Available for individual developers.
|Flat “per user, per month” subscription fee with no upfront fees or long-term commitments. Billed for the entire month.
Tabnine is an AI-powered coding assistant that enhances the efficiency and quality of software development. It offers intelligent code suggestions across a wide range of programming languages and seamless integrations with most modern IDEs.
Tabnine uses generative AI technology to predict and suggest the next lines of code based on context, including whole-line and full-function code completions, as well as natural language-to-code translations.
It can learn from your own code patterns and style, providing tailored code completions that match your coding standards and best practices. Tabnine is context-aware, making recommendations based on your code.
Trusted by millions of developers worldwide, Tabnine provides impressive code completion functionality and helps boost your development.
|Price per Month
|Free for 90 days then $12 per month
|$39 per month
aiXcoder is an innovative, AI-powered programming assistant designed to transform the way developers work by significantly improving their efficiency.
It provides intelligent code completion, going beyond simple suggestions to offer context-aware completions.
aiXcoder learns from your coding patterns, adapting to your unique style and becoming an increasingly effective coding companion.
It also helps you explore related libraries, functions, and methods, expanding your coding knowledge. This AI developer tool is compatible with various Integrated Development Environments (IDEs), including Visual Studio Code, IntelliJ IDEA, and Eclipse.
Impressively, it also offers customization options, allowing you to configure its behavior, including code style preferences and the types of suggestions it provides.
Pricing for aiXcoder can be availed by contacting its sales team.
AlphaCode, developed by DeepMind, is a state-of-the-art coding tool that leverages artificial intelligence to enhance the coding process.
It offers several powerful features that make it an excellent tool for developers. One of its primary features is auto-completion and suggestions, where AlphaCode uses machine learning algorithms to suggest code completions based on the context. It can predict the next line of code and suggest code snippets that align with your coding style.
Another significant feature is code optimization, which helps developers write more efficient code, thereby improving the overall quality of applications and reducing the time spent on optimization.
AlphaCode has also demonstrated its potential in competitive programming, ranking within the top 54% in real-world programming competitions. This advancement showcases the potential of deep learning models for tasks that require complex problem-solving capabilities.
|Available upon request
AskCodi is an AI-driven tool designed to reshape the coding workflow by amplifying efficiency and transforming complex coding tasks into smooth, manageable processes.
It provides a seamless AI-powered chat where programmers can craft code conversations and offers Jupyter-style workbooks to unlock endless possibilities for developers.
AskCodi supports all major programming languages and provides quick code suggestions to speed up the coding process. It also offers the ability to effortlessly translate between programming languages.
AskCodi is powered by OpenAI GPT and is available as an extension/plugin for Visual Studio Code, Sublime Text, and JetBrains' IDEs.
It provides various applications for code generation, unit test creation, documentation, and code conversions.
|Price per User per Month
|Price per User per Year
Cody by Sourcegraph is a free and open-source AI coding assistant that leverages Sourcegraph's code graph and Large Language Models (LLMs) to provide a comprehensive understanding of your codebase, open-source code, and extensive training data for code understanding and problem-solving.
Cody's key features include a chat function that allows users to ask questions about code and receive answers based on the knowledge of their codebase.
It also offers advanced search functionality, enabling developers to find references, definitions, and usages of symbols across the entire codebase.
Cody provides rich contextual information, such as documentation, examples, and usage patterns, empowering developers to comprehend code quickly and effectively.
When integrated with platforms like Gitpod, Cody unlocks a multitude of productivity-enhancing features, including seamless code navigation and the ability to collaborate and share insights.
Cody by Sourcegraph Pricing:
|Best for individuals working on hobby projects or professional devs trying out AI. Usage limits apply.
|Free until February 2024, then $9 per user per month.
|Best for professional developers who want unlimited usage and context for larger codebases.
|Contact for pricing
|For organizations needing security, scalability, and control. Currently available for existing Code Search customers.
CodeWP is an AI-powered WordPress code generator that changes the way WordPress creators build websites.
It's a suite of AI tools specifically designed for WordPress, offering features like conversational coding, plugin-specific modes, and an AI chatbot trained for WordPress.
CodeWP can generate complete plugins from a single language prompt, providing accurate and up-to-date generations.
It also offers a feature called CodeWP Vision, which allows users to connect a real-time stream of their WordPress site's frontend and chat with the AI for relevant suggestions and accurate code snippets.
The AI understands the context of messages and open files, generating anything from simple snippets to complex multi-file plugins.
CodeWP is not just a platform for code generation, but a comprehensive tool for all types of WordPress creators.
|Price per Month
|Actions per Month
|Plugin-Specific AI Modes
|2 Free Modes
|28+ Pro Modes
|28+ Pro Modes & Custom Modes
Mintlify is an AI-powered tool that automates the process of generating documentation for your codebase. This New York-based startup uses natural language processing and web scraping capabilities to scan code and generate comprehensive, clean, and understandable documentation.
Mintlify is available as a Visual Studio Code extension and IntelliJ plugin, making it easily accessible for developers. It not only generates documentation but also checks for “stale” documentation and can configure alerts automatically.
Mintlify integrates with platforms such as Dropbox and GitHub, thereby automating job management and development workflows.
The tool is also capable of analyzing code, understanding its purpose, and creating descriptions in the form of docstrings.
Mintlify's advanced technology is designed to save developers time and improve the codebase by providing accurate and well-organized documentation.
Phind is an AI-powered search engine built specifically for developers. It offers a user-friendly, conversational search experience, providing quick, accurate solutions to complex coding issues, particularly in Python programming language.
Phind's key features include a contextual search engine for coding problems, pseudo-code and real-code solutions in Python, and a focus on debugging assistance.
It uses advanced AI to analyze sources across the web and generate intelligent answers.
Phind is continuously updated, leveraging the latest online resources to provide the most accurate and comprehensive answers.
It also allows users to customize how results are ranked by adding domains and keywords and optimizing them for technical and coding questions.
Phind's AI models are adept at understanding the intricacies of programming languages, developer jargon, and technical documentation.
|$10 per month
|$20 per month
|Phind Pro Yearly
|$200 per year
ClickUp AI is a powerful tool that enhances productivity and streamline workflows for AI developers. It is a role-based AI assistant that offers a purpose-built experience, eliminating the guesswork involved with using AI to enhance productivity.
Key features include a Writing Assistant, Role-based tools and Templates, Text Summarization, and Document Creation.
It can generate structured draft documents such as proposals, email templates, and project plans, and it can create subtasks out of open tasks.
The AI assistant is seamlessly integrated across the ClickUp interface, making it easily accessible from multiple locations, including chats, docs, inbox, toolbar, and task comments.
It also offers the ability to summarize task updates, comment threads, meeting notes, and more.
ClickUp AI is designed to save time and enhance productivity, with users reporting that tasks that used to take 30 minutes now take 30 seconds with the AI Project Manager.
|Price per User per Month
|ClickUp AI Add-on
How to Choose the Right AI Developing Tool for Your Needs
With so many industry-transforming AI tools available, how should developers determine which solution is the best fit?
- Primary use case
Identify the main workflows you want to improve or automate. For instance, if you need to accelerate web development, CodeWP could be an optimal choice. But for SEO content creation, Mintlify would be more suitable. Carefully evaluate your top needs.
- Programming languages
- Team collaboration needs
If your developers work closely together, a cloud-based AI tool with strong collaboration features like ClickUp may be beneficial. But for solo coders, a standalone code editor plugin could suffice.
- Integration with existing tools
To avoid disrupting workflows, choose an AI assistant that easily integrates with your version control system, IDE, code hosts, and other platforms. Prioritize tools offering native integrations through extensions and plugins.
- Customization needs
Some developers may require fine-grained control in customizing output code style, documentation, etc. Others simply need usable code. Assess your team’s preferences around customizing vs out-of-the-box functionality.
With all these key factors, you can easily select the ideal AI developer tool that can align with your goal.
AI Tools for Cross-Platform App Development
AI tools are revolutionizing cross-platform app development, enabling developers to create applications that work seamlessly across different platforms and devices. These tools leverage machine learning algorithms and advanced automation techniques to optimize user interfaces and generate code that works across multiple platforms. This eliminates the need for developers to write and optimize code for each platform separately, saving substantial time and effort.
Some of the top AI tools for cross-platform app development include ChatGPT, CoreML, Github Copilot, Mintlify, ML Kit, OpenCV, PyTorch, TensorFlow, Uizard, and Visily. These tools can help with various aspects of app development, from automating the writing of boilerplate code to creating cutting-edge features.
Cross-platform development frameworks like React Native, Flutter, and Xamarin also play a crucial role, allowing developers to write a single codebase that can be used on multiple platforms. This results in faster time-to-market, reduced development costs, and increased user reach.
AI-powered app builders like AppMaster are also transforming cross-platform development, offering powerful, efficient, and accessible tools for creating applications that deliver exceptional user experiences across multiple platforms.
What are the Future Predictions for AI coding in 2024?
Experts forecast that AI will become deeply integrated into software development by the end of 2024, profoundly enhancing developer productivity and efficiency.
Specifically, customization will drive more specialized AI coding tools tailored to specific languages, frameworks, and workflows.
Open-source AI models will also gain traction, enabling easier integration into existing systems.
Additionally, AI is expected to handle an increasing array of repetitive coding tasks through automation, allowing developers to focus on complex problem-solving.
However, over-reliance on large language models risks diminishing returns and bias creeping into applications. Thus, more targeted, multimodal AI solutions may emerge to mitigate these concerns.
Regulation will likely remain limited globally, though calls for governance frameworks will intensify.
Overall, while AI promises immense benefits, developers must thoughtfully evaluate tools to maximize productivity gains while minimizing risks around deskilling and loss of control.
The future likely holds an augmented partnership between human creativity and AI assistance if the technology is judiciously applied.
FAQs on Best AI Tools for Developers
How do AI tools enhance the efficiency of developers?
AI tools enhance developers' efficiency by automating tasks such as code generation, error identification, and providing real-time suggestions. This reduces coding and debugging time, thereby increasing productivity.
What are the benefits of using AI tools for coding?
AI tools for coding offer several benefits. They can automate routine tasks, provide real-time feedback and suggestions, facilitate learning and skill development, and help bring software applications to market more quickly.
What are some free AI tools for developers?
Some of the best free AI tools for developers include GitHub Copilot offering a free plan, ChatGPT, and Mintlify. These tools offer a range of features with free limited access and integrate with popular code editors or software used in development.
How do AI tools contribute to team collaboration and prevent burnout?
AI tools can enhance team collaboration by automating routine tasks, thereby preventing burnout. They can also provide real-time feedback and suggestions, which can help improve the quality of code and reduce the time spent on debugging.
How can novice developers benefit from AI tools?
AI tools can serve as learning aids for new programmers, providing real-time feedback and suggestions to improve their coding skills. This is especially valuable in educational settings or for those just starting out in the field.
What are some of the limitations of AI tools for developers?
While AI tools offer many benefits, they also have some limitations. For instance, some tools may lack features such as personalized recommendations and intelligent suggestions, which can contribute to a better user experience.
What are the key features to look for in an AI tool for developers?
Key features to look for in an AI tool for developers include code suggestion, code autocompletion, debugging or code cleaning, and testing capabilities. Some tools also offer features like process documentation and sprint reporting.
AI for More:
Final Note from My Side
In my opinion, AI-powered developer tools represent an immense opportunity to drive step-function gains in software engineering productivity and efficiency.
As evidenced by the 12 solutions for software developers highlighted here, AI stands ready to automate repetitive coding work, enable faster delivery of business logic, and augment human creativity.
The adoption of AI coding assistants is clearly accelerating thanks to measurable boosts in output and reductions in grunt work.
While legitimate concerns exist around over-reliance and skill erosion, I believe developers willing to judiciously leverage AI's capabilities will gain decisive competitive advantages.
Based on my experience. I see the future of AI in software development as likely to hold an ever-expanding variety of specialized AI tools tailored to specific languages, frameworks, and workflows.
Developers should thoughtfully evaluate options to determine the best fit for their needs, maximizing productivity gains while minimizing risks.
The key is to wield responsibly and AI can promise to profoundly enhance nearly every aspect of software creation in the coming years.
So, what are you thinking now, are you coming to take charge of this revolution?