Top 15 AI software development tools to use in 2024

18 min read
February 28, 2024

AI tools are redefining software development.

From design to writing code, AI tools will help you do it faster and better.

And that’s not even the best part – they’ll also help you build innovative features that will make you stand out from the crowd.

So, if you want to find the best tools to do that, you’re in the right place.

Here, we’ll cover the top 15 AI software development tools you should use in 2024.

Let’s dive in!

What is AI?

Artificial intelligence (AI) is a branch of computer science that aims to build machines and programs that can mimic human intelligence.

In other words, AI refers to machines and programs that do tasks we normally associate with human intelligence.

This includes:

  • Translation
  • Image recognition
  • Language recognition
  • Pattern recognition

But, AI is a broad field with a lot of subfields like deep learning and machine learning.

Here’s how they relate to each other:

AI vs machine learning vs deep learning

But, how does AI actually work?

In simple terms, AI works by processing and learning from huge amounts of data.


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It then uses what it’s learned to make informed decisions and predictions.

Of course, this is a very simplified explanation, and the real processes behind it are much more complex.

But, that’s how it works on a basic level.

Top AI software development tools

Now, let’s talk about the top AI software development tools you should use.

Amazon CodeGuru

Amazon CodeGuru is an AI-powered static application security testing (SAST) that uses machine learning and automated reasoning to find vulnerabilities in your code.

Amazon CodeGuru

It also gives you recommendations on how to fix those vulnerabilities and can troubleshoot operational issues using your runtime data.

CodeGuru works with these repositories:

And all you need to do is open the CodeGuru console, associate it with your repository, and you’re good to go – as simple as that.

Important features

  • CodeGuru Profiler

With CodeGuru Profiler, you’ll get interactive visualizations and recommendations you can use to fine-tune performance.

  • CodeGuru Reviewer

CodeGuru Reviewer detects potential defects and vulnerabilities that are hard to find and human reviews might have missed.

  • Integration with development tools

CodeGuru integrates with popular software development tools like Bitbucket and Github, making it easy to integrate into your existing workflow.

Pros and cons


  • Automated code reviews
  • Integration with popular tools
  • Performance optimization


  • Limited to AWS
  • May have false positives


Amazon CodeGuru is free for the first 90 days, after which you have to pay.

What you pay will depend on:

  • The size of your repository
  • Your region
  • The services you choose

AWS has a pricing calculator to help you estimate your costs based on your specific needs.


ChatGPT needs no introduction.

We’ve all played around with different prompts to see what it can come up with.


But, it’s much more than a novelty – if you use it right, ChatGPT can help you significantly speed up development.

ChatGPT can generate boilerplate code, write short code snippets, and help you write code documentation.

And that’s just the tip of the iceberg.

Important features

  • Code generation

You can use ChatGPT to generate code snippets in various languages, which is especially useful if you want to speed up the writing of boilerplate code.

  • Code explanation and debugging

ChatGPT can explain complex code snippets and identify any errors in the code, helping users find and fix bugs.

  • Documentation writing

With ChatGPT, you can quickly generate documentation for your codebase – all you need to do is give it access.

Pros and cons


  • Strong community
  • Regular updates
  • Customizable


  • Sometimes generates inaccurate results
  • Initial setup costs


ChatGPT’s less powerful GPT 3.5 model is free to use, with unlimited messages and interactions.

ChatGPT pricing

But, if you want access to the more capable GPT-4 model, they have 3 pricing tiers:

  • Plus – $20 per user/month, with access to GPT-4 and other tools like DALL-E
  • Team – $25 per user/month, with higher message caps and an admin console
  • Enterprise – custom pricing, with unlimited high-speed access and priority support

Core ML

Core ML is Apple’s framework for integrating machine learning models into apps running on their operating systems.

Core ML

The key advantage of Core ML is how easy it is to use – it has a simple, drag-and-drop interface for ease of use.

You can use it to create custom AI models that are trained on your own data, as well as import models from third-party libraries.

And that’s why it’s a good choice.

Important features

  • Core ML Tools

If you’re importing a third-party model, you can easily convert it into the Core ML format with Core ML Tools.

  • Model customization

With Core ML, you can expand and modify your AI model with new layers to improve accuracy and performance.

  • Model personalization

In Core ML, you can update your model to adapt to new data and give your users a better experience.

Pros and cons


  • Strong data privacy
  • Low latency
  • Good documentation


  • Limited to Apple
  • Increased app size


CoreML is free to use and is compatible with Apple’s other frameworks and tools.

Github Copilot

Github Copilot is an AI coding assistant that turns natural language prompts into coding suggestions.

Here’s an example of how it works:

Github Copilot

Copilot automates the writing of boilerplate code, allowing engineers to focus more on solving complex problems.

And that’s not idle talk – according to Github’s research, 74% of Copilot users say they can focus on more productive work and 88% feel more productive. 

That’s a pretty compelling reason to go with it.

Important features

  • Code autocompletion

Copilot’s autocomplete doesn’t just suggest individual variables or functions, but can autocomplete entire lines of code

  • Multi-language support

Copilot supports a variety of programming languages, such as Python, JavaScript, TypeScript, Ruby, Go, C#, and C++.

  • Contextual understanding

The AI algorithms behind Copilot can analyze the code you’ve already written and give contextually relevant suggestions.

Pros and cons


  • Improves coding speed
  • Easy integration
  • Context-based suggestions


  • Needs manual review
  • Licensing concerns


Individuals and freelancers can get Copilot Individual for $10 per month and get access to its core features.

Github Copilot pricing

But for organizations, there are 2 paid plans – Copilot Business and Copilot Enterprise.

Copilot Business is $19 per user/month, with all the core Copilot features, just like the Copilot Individual plan.

And the Copilot Enterprise plan is $39 per user/month, with chat personalized to your codebase and fine-tuned models.


Mintlify is an AI tool that automatically generates code documentation.


It scans the code in your codebase and generates documentation to explain it.

The main benefit of Mintlify is that it automates one of the most tedious tasks in software development, allowing you to focus on more important tasks.

And that’s why you should try it out.

Important features

  • Automatic code documentation generation

Mintlify’s core feature, it scans your code and automatically generates readable and understandable documentation to explain it.

  • Mintlify Chat

Based on the GPT-4 model, Mintlify Chat allows you to search your documentation and quickly find what you need.

  • Integration with popular development tools

Mintlify easily integrates with popular tools like Visual Studio Code and IntelliJ IDEA, so it can easily fit into your existing workflow.

Pros and cons


  • Saves time
  • Improves code reliability
  • Customizable templates


  • Dependent on code quality
  • Might need manual editing


Mintlify has a free plan if you’re just getting started and want to see how it works.

Mintlify pricing

They also offer 3 paid plans:

  • Startup – $150 per month/project, with advanced features and Mintlify Chat
  • Growth – $450 per month/project, with up to 15 editors and multiple repo sources
  • Enterprise – custom pricing, with unlimited editors and advanced features

ML Kit

ML Kit is Google’s software development kit (SDK) that allows you to integrate machine learning into your mobile app.

ML Kit

With ML Kit, you can add production-ready AI models optimized for mobile with only a few lines of code.

And the best part?

It works on both Android and iOS devices.

And that’s why you should go with it.

Important features

  • Pre-trained models

ML Kit offers a range of Google’s pre-trained AI models, with a focus on computer vision and natural language processing models.

  • Custom model support

If you need a more complex model, you can replace some of their pre-trained models with custom models.

  • On-device processing

ML Kit models process data on-device, which means they can work in real time and without needing an internet connection.

Pros and cons


  • Good for beginners
  • Easy integration
  • Supports both iOS and Android


  • Limited control over pre-trained models
  • Large file size


ML Kit is free to use, including for commercial purposes.


OpenCV is a cross-platform programming library you can use to build real-time computer vision features.

But what does that mean?


Computer vision is what allows computers to understand and identify objects and people in images and videos.

And with OpenCV, you have access to over 2,500 optimized computer vision algorithms.

That’s why it’s the go-to library if you want to add it to your project.

Important features

  • Real-time object detection

OpenCV has algorithms that excel in identifying specific objects in images and video, which is vital for applications that need real-time object detection.

  • Movement and gesture recognition

With OpenCV, you can integrate movement and gesture recognition models, which are key for applications like interactive gaming and surveillance.

  • Pre-trained models

OpenCV has over 2,500 optimized computer vision algorithms and models, so you can pick the one that best fits your requirements.

Pros and cons


  • Wide range of functionalities
  • Active community
  • Efficiency


  • Steep learning curve
  • Documentation gaps


OpenCV is an open-source library, and you can freely use it. is an AI tool that records and transcribes conversations in real time. UI

It can automatically join your meeting and start transcribing.

Also, it can automatically share the transcriptions with the whole team and create 30-second summaries of long meetings to keep everyone on the same page.

And that’s why it’s such a useful tool.

Important features

  • Real-time transcription can transcribe your meetings in real time with a high degree of accuracy, saving you a lot of time.

  • Integration with video conferencing tools easily integrates with common video conferencing like Google Meet, Teams, and Zoom.

  • Shared notes and collaboration features

With, you can share meeting notes with your entire team over Slack and even chat with it to get more specific information.

Pros and cons


  • Improves productivity
  • Easy to use
  • Accessibility


  • Needs an internet connection
  • May struggle with background noise

Pricing has a free Basic plan, so you can try it out and see if it works for you. pricing

They also offer 3 paid plans:

  • Pro – $16.99 per user/month, with 1200 monthly transcription minutes and team features
  • Business – $30 per user/month, with 6000 monthly transcription minutes and up to 3 concurrent virtual meetings
  • Enterprise – custom pricing with advanced security and compliance features


PyTorch is a machine learning framework you can use to create deep learning models.

Here’s what a typical PyTorch workflow looks like:

PyTorch workflow

It’s widely used for training computer vision and natural language processing AI models.

The main advantage of PyTorch is that it’s flexible and easy to use when compared to other machine learning frameworks.

And that’s why it should be your top choice.

Important features

  • Dynamic computation graph

PyTorch’s dynamic computation graph is its standout feature – this is what allows flexible model definition and modification.

  • Deep learning support

With PyTorch, you can build neural networks and deep learning models for advanced AI features and applications.

  • Extensive ecosystem of tools and libraries

PyTorch supports a large ecosystem of tools and libraries you can use to improve and optimize the AI models you build.

Pros and cons


  • Flexible
  • Developer-friendly
  • Comprehensive documentation


  • Steep learning curve for beginners
  • No monitoring tools


PyTorch is open-source and free to use.


Scribe is an AI tool that can automatically generate step-by-step guides and documentation for any process.

Scribe UI

In seconds, you can create:

  • Step-by-step guides
  • SOPs
  • Training manuals

Using Scribe is the easiest way to save time and effort on writing documentation without sacrificing its quality.

And that’s why it’s a good investment.

Important features

  • Automatic documentation

Scribe can automatically generate visual, step-by-step guides for any process, which saves you a lot of time.

  • Customization options

You can customize documents by adding titles, descriptions, and redacting sensitive information so your guides are comprehensive and tailored to your specific needs.

  • Custom branding

Scribe supports adding company logos and colors to create guides that align with your brand identity.

Pros and cons 


  • Saves time
  • Helps with learning and training
  • Improves documentation consistency


  • Complex processes need edits
  • Only browser-based processes in free plan


Scribe has a free plan, Basic, geared towards individuals or teams who need to document browser-based processes.

Scribe pricing

They also have 2 paid plans – Pro and Enterprise.

The Pro plan has 2 iterations, Personal ($29 per seat/month) and Team (5 seat minimum, $15 per seat/month), depending on your specific needs.

And the Enterprise plan has custom pricing and is geared towards companies who need advanced security and compliance features.


Snyk is an AI SAST tool, similar to Amazon CodeGuru.

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Think of it like Grammarly for your code.

It can scan your code, find vulnerabilities, and suggest fixes that won’t cause new issues.

Snyk works with most major IDEs and repositories and it can analyze code written in most common programming languages.

And that’s why it’s a good pick.

Important features

  • Automated vulnerability detection

Snyk continuously scans your code and automatically detects vulnerabilities and issues, so you can fix them as soon as they happen.

  • Comprehensive security solutions

Snyk doesn’t just scan your code, it also scans dependencies, docker containers, and infrastructure as code (IaC) so you have full coverage.

  • Direct integration

As part of its developer-first approach, Snyk seamlessly integrates into your IDEs, repos, and workflows.

Pros and cons


  • Continuous monitoring
  • Easy to integrate
  • Improves code security


  • Complex setup
  • Confusing UI


Snyk has a free plan geared towards individual engineers and small teams, with limited tests.

Snyk pricing

They also have 2 paid plans – Team and Enterprise.

The Team plan starts at $25 per month/product, with up to 10 contributing engineers and unlimited tests.

And the Enterprise plan has custom pricing, with unlimited tests, a customizable number of engineers, and advanced features.


Stepsize is an AI tool that helps engineers manage technical debt directly in their IDE of choice.

Stepsize AI

With Stepsize, you can track, prioritize, and manage technical issues without having to leave your development environment.

Also, Stepsize can generate weekly reports on your product’s development based on activity in your issue tracker.

Important features

  • Integration options

You can easily integrate Stepsize with the most popular IDEs, code editors, issue trackers, and version control tools on the market.

  • Inline issue tracking

Stepsize makes inline annotations directly in your codebase, so you don’t have to dig through your backlog.

  • Automated weekly reports

With Stepsize, you get automated weekly reports from your issue tracker

Pros and cons


  • Reduces technical debt
  • Easier problem solving
  • Security


  • Learning curve
  • Needs engineer buy-in


Stepsize has 2 paid plans – Team and Tailored Setup.

Stepsize AI pricing

Both are $29/month for a Jira board or Linear team, the only difference being that you get extra support setting up Stepsize AI with the Tailored Setup plan.


Tabnine is an AI coding assistant and code completion tool that can autocomplete lines of code as you type.

Here’s an example of Tabnine in action:

Tabnine code completion

Tabnine is context-aware, so its suggestions are based on your personal coding style and patterns.

Also, you have the option of expanding Tabnine with AI models directly trained on your code for even better suggestions.

And that’s why it’s a solid choice.

Important features

  • Code completion

Tabnine gives context-aware code suggestions based on your personal coding style, patterns, and preferences.

  • Tabnine Chat

You can ask Tabnine Chat any question and generate and document code directly in your IDE, which can save you a lot of time.

  • Security features

Tabnine has enterprise-grade security and can be deployed on-premises or in a virtual private cloud (VPC), which ensures your data and code are safe.

Pros and cons


  • Speeds up coding
  • Personalized code suggestions
  • Easy installation


  • Cost
  • No refactoring or debugging


Tabnine has a Basic plan, which is free but only offers the core features.

Tabnine pricing

They have 2 paid plans – Pro and Enterprise.

The Pro plan starts at $12 per user/month and is geared towards individuals and small teams.

And the Enterprise plan starts at $39 per user/month with a 1-year commitment and offers advanced admin and security features.


TensorFlow is an open-source machine learning framework used to build and deploy machine learning models.


TensorFlow is especially useful if you want to build and train deep learning models.

Also, TensorFlow has specialized tools like TensorFlow Lite (for mobile devices) and TensorFlow.js (written in JavaScript) to make deployment and integration easier.

And that’s why it’s one of the most popular machine learning frameworks.

Important features

  • Flexibility

TensorFlow allows for different types of data definition and manipulation, which gives you flexibility and more control over your AI model.

  • TensorFlow Lite

TensorFlow Lite is a mobile library you can use to deploy AI models in mobile apps and edge devices.

  • TensorFlow.js

With TensorFlow.js you can develop AI models in JavaScript and use them directly in the browser or in Node.js.

Pros and cons


  • Scalability
  • Regular updates
  • Extensive documentation


  • Steep learning curve
  • Less intuitive than other frameworks


TensorFlow is open-source and free to use.


Uizard is an AI-powered UI design tool you can use to quickly create UI designs and prototypes.


With Uizard, you can make:

You can take one of Uizard’s UI templates and adjust it to your needs or create a new design from scratch using their pre-made design elements.

And the best part?

Your whole team can work together on the design in real time.

And that’s what makes Uizard stand out from the crowd.

Important features

  • Real-time collaboration

Uizard allows your whole team to collaborate in real-time to create the design, so that everyone is aligned from the get-go.

  • Drag-and-drop interface

Uizard has an easy-to-use, intuitive drag-and-drop interface so even non-designers can easily create UI designs and prototypes.

  • Autodesigner

The stand-out feature, Autodesigner can generate editable prototypes, screens, and images from natural language prompts.

Pros and cons


  • User-friendly interface
  • Supports rapid prototyping
  • Real-time collaboration


  • Limited customization
  • Focused on mobile


Uizard has a free plan aimed at students and hobbyists.

Uizard pricing

They also have 2 paid plans – Pro and Business.

The Pro plan is $12 per creator/month with access to all templates and unlimited screens.

And the Business plan is $49 per creator/month and includes unlimited access to everything and priority support.

Top AI software development tools: FAQs

What is AI?

AI is a branch of computer science that aims to build machines and programs that can mimic human intelligence.

Which AI software development tools should I use?

You should use:

  • Amazon CodeGuru
  • ChatGPT
  • CoreML
  • Github Copilot
  • Mintlify
  • ML Kit
  • OpenCV
  • PyTorch
  • Scribe
  • Snyk
  • Stepsize
  • Tabnine
  • TensorFlow
  • Uizard

Which AI coding assistants should I go with?

You should use GitHub Copilot and Tabnine.


AI is the future of software development in 2024 and beyond.

But, to get the most out of it, you need to choose the right tools.

And the tools we’ve covered will help you do just that.

If you want to learn more, you can read our beginner’s guide on how to become an AI developer and check out our blog.

Written by

Marko Strizic

Co-founder and CEO

Marko started DECODE with co-founders Peter and Mario, and a decade later, leads the company as CEO. His role is now almost entirely centred around business strategy, though his extensive background in software engineering makes sure he sees the future of the company from every angle. A graduate of the University of Zagreb’s Faculty of Electrical Engineering and Computing, he’s fascinated by the architecture of mobile apps and reactive programming, and a strong believer in life-long learning. Always ready for action. Or an impromptu skiing trip.

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