Technology is supposed to make our lives easier. Developers achieve this by developing top-not products. But that’s not the end of it.
There is also a need to make developers’ lives easier, especially during the product development process.
This is where AI tools for software development come in.
Honestly, it is super frustrating to be staring at the same snippet of faulty code for an hour, trying to find the broken areas.
In such a case, it would be easier to ask a friendly bot for help. Thankfully, there are lots of quality
AI tools designed to simplify developers’ work. Some of them not only write your code but can also review and debug it.
With such tools, you shouldn’t be stuck with broken or messy code.
Missing out on these AI tools for software development will seem like a death knell.
That is why we have compiled the top tools that will help simplify your work. So, read on to find out more about these tools.
The Best AI Tools for Software Development
1. Aider
Aider outshines the competition when it comes to multi-factoring and feature implementation. That is why it is a valuable tool for a lot of modern development workflows.
You will get the best out of it when you approach it with an understanding of its optimal use cases. But be aware that it sometimes overwrites its own changes in sequential modifications.
Key Features
- Seamless code integration
- Advanced AI capabilities
- Innovative interaction methods
Pricing
- Tier 1: Up to 50 clients is $500 or US$5,100 per year.
- Tier 2: 51-150 clients is $1,500 or US$15,300 per year.
2. GitHub Copilot
GitHub Copilot has some notable advantages over Google Gemini and ChatGPT because it can write functional code.
The tool can utilize high-level languages like Python, Go, Ruby, JavaScript, Swift, and PHP when the code is wrong.
Another thing that makes Copilot one of the best AI tools for software development is its full access to projects.
The tool can generate specific code suggestions based on style convention, architecture, and context.
Besides this, it can integrate with some integrated development environments (IDEs) like Visual Studio, Neovim, and Xcode.
Key Features
- Task-oriented development
- Collaborative environment
- Iterative editing
- Integrated tools
Pricing
- Copilot Pro costs $10 per month or $100 per year.
- Copilot Business costs $19 per user per month for organizations.
3. Cursor
Cursor IDE represents a significant improvement in development tools.
We say so because it can combine the familiar Visual Studio framework with high-level AI capabilities.
We love this innovative code editor because it enhances developer productivity by streamlining workflows and through intelligent assistance.
It is particularly effective for managing single-technology projects.
Key Features
- Developmental workflow enhancement
- Intelligent code assistance
- Collaboration and quality
Pricing
- The pro plan costs $20 per month.
4. Windsurf
Windsurf is another impressive IDE that stands out in many ways.
It particularly shines when it comes to seamlessly merging AI capabilities with conventional coding workflows.
For this reason, it has reshaped how developers handle their daily coding tasks.
Ultimately, it offers a unique blend of efficiency and intelligence.
Key Features
- Collaborative intelligence
- AI-enhanced development, including cascade technology, intelligent code suggestions, and deep contextual understanding.
- Enhanced productivity toolset like command integration and multi-file smart editing.
Pricing
- The pro version costs $15 per month.
- Ultimate Plan costs $60 per month.
5. Amazon Q Developer
If your focus is the AWS ecosystem, then you will need this tool.
It brings a suite of AI-powered capabilities that enhance the developer experience within the ecosystem.
The main difference with other IDEs is that it’s optimized for AWS APIs, including Lambda, EC2, and S3.
It is among the top AI tools for software development because it allows you to experiment with different prompt structures.
Key Features
- Intelligent assistance, especially when it comes to conversational development support
- Development workflow integration featuring implementation support and team collaboration tools
- Code enhancement tools
- Monitoring and reporting
Pricing
- The pro package costs $19 per user per month.
6. Tabnine
Tabnine is a fantastic AI coding assistant that supports several LLMs, including GPT-4, Claude, and Command R+.
Another impressive thing about it is that it can auto-complete full functions or whole lines of code.
Additionally, it can match the style and conventions of your existing database.
We also included it in this list of AI tools for software development because of its availability.
Unlike Amazon QD and GitHub Copilot, which are only available in a few IDEs, Tabnine is available in several IDEs.
Some notable examples are Sublime, Android Studio, Neovim, and Eclipse.
Since it has been around for a while, it has managed to deliver strong, trustworthy security and compliance credentials.
Sure, it might not be the most powerful coding tool, but it comes with lots of flexibility and decent features.
Key Features
- Comprehensive training data transparency
- Reliable and secure coding support
- Local out-of-the-box execution.
Pricing
- Has three pricing editions, ranging from $0 to $39.
7. CodeWP by WPAI
Many people recognize WordPress as the top content management system, powering over 40% of websites worldwide.
So, if your development work mainly involves WordPress, then CodeWP will work best for you.
Its design and training are particularly geared towards generating PHP, JavaScript, and JQuery scripts.
These scripts are compatible with the WordPress platform and its database and plugins.
Key Features
- Multiple generation modes
- Conversational editing
- AI-driven generation
- WordPress-specific training
Pricing
- The pro package costs $18 per month.
- Agency packages can cost up to $68 per month.
8. Bolt.new
Bolt.new is one of the best AI tools for software development in 2025. It has lots of positive reviews from users, especially when it comes to performance. This innovative AI coding tool will help you streamline coding tasks, enhance code quality, and reduce repetitive tasks.
If you are using Strapi, you can boost productivity through some features like streamlined API integration. Some of these capabilities are particularly beneficial when you are handling complex projects. So, it can come in handy when building a ChatGPT clone with Strapi.
Key Features
- Seamless API creation
- Collaboration and customization
- Robust security features
- Improved content management
Pricing
- Free to get started.
- The price of premium usage is not clear.
9. Cody AI
This code assistant will streamline and accelerate your process of writing code.
It is more user-friendly than GitHub Copilot and can help you handle all kinds of tasks, including suggesting codes.
We also believe that it is one of the top AI tools for software development because it can deeply analyze existing code.
It can also check your code graph and documentation. Basically, Cody can give you speedy and insightful responses to your queries.
Key Features
- Precise coe navigation
- Search and analyze your codebase using natural language prompts.
- Detailed code analysis
- Language translation for code
Pricing
- Light usage package is free, while the premium version is $29 per month.
10. Mutable AI
Aiming to eliminate the need for unnecessary searches and repetitive boilerplate code?
Well, Mutable is one of the most powerful coding tools that will ensure faster and better code delivery.
While it might be one of the youngest code assistants on this list, it definitely comes with high-tech features.
It is a performer in rapid-paced environments when compared to other code assistants.
Key Features
- Multi-file AI edits
- Codease chat and semantic search
- Repository intelligence for bug tracking
Pricing
- Has two plans costing $25 and $50 per user per month.
How to Choose the Right AI Tool for Software Development
Choosing the right AI tool will largely depend on your project’s needs as well as compatibility with your current tools.
A good example is that GitHub Copilot will serve you best if you want to automate repetitive tasks.
Besides this, you should also consider the cloud service you will be using. Ideally, you should understand the differences between platforms.
Frequently Asked Questions (FAQs)
These are software applications and libraries that help developers to write, test, review, and deploy AI functionalities within their software.
They can improve efficiency and streamline workflows.
As a developer, you will benefit by leveraging the user-friendly tools to integrate basic AI features.
You can also simplify and fasten the process of code review.
The good thing is that these tools will benefit all categories of developers, including those with machine learning and data science backgrounds.
As you may have noted from the above tools, AI models integrated into coding tools and IDEs can provide smart code suggestions.
They can also generate documentation, automate error detection, and streamline the development process.
AI developer tools come in many flavors.
There are some that review and debug code; others can generate documentation.
Besides this, some of these tools are general AI assistants while others are UI/UX design assistants. An important category is the ones that handle code completion and assistance.
Embrace the Future with AI Developmental Tools
Artificial intelligence has played a huge role in how software is developed and delivered to users.
It has not only improved teamwork, but it has also automated tasks, fundamentally revolutionizing the software cycle.
It can also generate entire files automatically via their natural language processing capabilities.
Embracing the right AI development tools will give you a competitive edge. Some of the above AI tools for software development leverage AI models to understand imagery, code, and language.
Of course, they are not perfect yet, but it is hard to deny that they can be useful when used under the right circumstances.
Also, remember to stay cautious when handling important data with these tools.
Additionally, you need to consider the ethical aspects of using AI and its responsible usage. AI is supposed to assist you and not to replace human expertise.
So, strive to maintain the balance between improving productivity with AI without diminishing your creativity as a developer.
Also Read:
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- Best Browsers For Developers: Optimize Your Workflow in 2025
- 7 Best VS Code Extensions for Web Developers in 2025
- Top 10 Useful VS Code Extensions For Software Developers in 2024
