Do you want to make your business more competitive and speed up software development with generative AI tools? Based on predictions by Gartner, 30% of enterprises will have some kind of AI-augmented development and testing strategy by 2025. So, it’s worth knowing what each generative AI model can and can’t do. We will skip common content generation tools such as Midjourney, which generates images, and explore the software development side of AI.
Generative AI technology can write and inspect code, find problem areas, and instantly suggest an effective fix. Since the launch of GPT-4, many have feared it will completely replace human developers. While this is not the case yet, businesses can use generative AI to boost their AI-powered development and prompt engineering.
We have summarized the key features of the top generative AI tools for developers and their pros, cons, and pricing options. Let’s dive in!
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How Does Generative AI Work
Generative AI uses sophisticated deep learning models (diffusion models, generative adversarial networks, or variational encoders) and training on huge datasets.
Thanks to AI and ML, today, we have models such as neural networks. These networks mimic the human brain and are used in a variety of content creation tools:
- image generation tools,
- art generation tools,
- music generation tools,
- voice recognition,
- text generation tools,
- conversational AI,
- video editing tools,
- language translation.
Generative AI models can find patterns and combine elements to create new content. The results include software code, text, images, sounds, video, 3D models, and more.
Benefits of Generative Tools in AI-Powered Development
For programming and software development, new generative AI can help your bottom line more than any other technology. Here are some of its main benefits:
- You will develop and launch products faster. Generative artificial intelligence can help developers and engineers reach milestones faster, ensuring a timely product launch.
- Your employees will be more productive and satisfied. Without repetitive tasks, work will be more rewarding.
- Customers will have a better experience. Personalized marketing content generation improves customer experience. AI models and tools can also handle customer expectations regarding functionality and design. You can also create engaging social media posts to draw more customers.
- You can automate tasks. Automating tasks can remove many obstacles and time-wasters in the development process.
- You will reduce costs. Companies can hire fewer employees and spend less time on tedious tasks if they use AI.
- Developers can get instant responses. Machine learning models offer almost instant results, as they can quickly process massive amounts of data and generate content.
There are also a few potential problem areas because using generative AI-augmented development is relatively new. The main concerns include the accuracy and potential biases of AI-generated content, data security, and privacy. The solution to privacy concerns can be found in synthetic data that removes private customer information.
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7 Best Generative AI Tools for Developers
Despite today’s limitations in artificial intelligence and machine learning, the benefits are convincing. Here are our picks of the best generative AI tools for developers.
GitHub Copilot was created to assist with programming. Its main features include real-time code analysis and suggestions, code generation and translation between multiple languages, and rapid prototyping and exploration.
However, code quality may vary, and the autocomplete option may produce inaccurate results. It’s not suitable for junior developers, as AI-generated code needs checking. There can also be security risks and copyright issues, as it’s trained on open-source code.
GitHub Copilot is free for verified students, teachers, and maintainers of popular open-source projects. Others can get a free 30-day trial for a paid subscription at $10 per month or $100 per year. For businesses, it comes at $19 per user per month. The future GitHub Copilot X will use GPT-4 for more advanced functions.
AlphaCode is a transformer-based language model. It can apply critical thinking to solve problems, producing solutions on par with the average programmer. The tool shows promising potential in developing complex solutions in Python, C++, Java, PHP, Rust, and other languages.
AlphaCode can create algorithms independently and turn them into code, even writing out entire programs. It can generate large volumes of code faster than any human and in multiple programming languages. It also has smart filters.
Unfortunately, things can go wrong, especially with more complex tasks. It needs very precise descriptions of the problems it’s working on.
It’s free to use.
ChatGPT makes the list of the best generative AI tools for developers, but to get the most out of it, users need to opt for the Plus package. The free version is based on GPT-3, one of the large language models that can generate text, create, and translate code. However, OpenAI has released an upgraded version of the transformer-based model, GPT-4, with more advanced features available through the paid subscription.
The power of GPT-4 allows programmers to write better and more complex code. You can get code explanations, issue detection, improvement suggestions, and debugging.
However, ChatGPT is not trained on data past September 2021 and is only as reliable as its sources. It’s limited in accuracy, especially for more recent developments. It also doesn’t cite the sources used. And, if you have your own knowledge base, you can’t train ChatGPT on it.
There is a free version and a Plus version for $20 per month. The paid version offers consistent service during peak times, faster responses, plugins, and early access to new features. Most importantly, the Plus package comes with GPT-4, one of the more accurate and reliable AI models.
The main task of AI Query is translating natural English language queries into SQL queries and vice versa. Its key feature is generating SQL queries based on project-specific databases.
AI Query can generate complex SQL queries in seconds. The results are accurate, and the tool is suitable for junior developers. It has an intuitive interface and supports MySQL, Microsoft SQL Server, PostgreSQL, and MariaDB. Future plans include support for Google BigQuery, Amazon Aurora, MongoDB, Oracle, and more.
Unfortunately, there is no free version.
The pricing options include a monthly plan at $10 and a yearly plan at $100. The latter comes with a 2-month free trial, faster responses, priority support, and early access to new features.
Google Bard is one of the most popular text generators, like Chat GPT mentioned above, and is also widely used by developers. It is a coding AI assistant that is efficient in generating content and turning prompts and comments into code. It can also explain and refactor previously written code. Other features include code testing and analysis and feature suggestions for applications.
As it’s still in its early stages, Bard can’t handle complex tasks, and code quality may vary. It can generate biased or inaccurate outputs.
The tool is free to use.
TabNine is a generative AI tool for code completion. It uses open-source code to create suggestions and auto-complete lines of code. It’s available in Android Studio, Emacs, Sublime, and Vim.
However, some user reports suggest that TabNine outputs may take a while to appear.
The tool doesn’t provide debugging or refactoring, limiting its functionality.
There is a free version, limited to one user, with basic short code completions. The Pro package supports up to 100 users at $12 per user per month. It comes with advanced completions, turning natural language into code, and adapting to your coding style. Enterprise solutions can support an unlimited number of users, come with priority support, and a choice of hosting options to ensure privacy and security.
Amazon CodeWhisperer is another popular generative AI tool, a counterpart to GitHub Copilot. It can produce code suggestions in real time and identify and mitigate security risks. For those building software on Amazon’s cloud platforms, CodeWhisperer can ensure that AWS best practices are met.
Amazon CodeWhisperer can go wrong, especially on non-AWS platforms. It can’t handle complex tasks and may result in ethical, legal, and security risks.
The individual tier is free of charge and comes with 50 security scans per month. The professional tier costs $19 per user per month, with 500 code security scans per user each month.
Which Tool Would Best Suit Your Business
The best generative AI tools for your business depends on the type of coding assistance you need, your hosting preferences, privacy and security concerns, as well as your team size and expertise.
Here is an overview of the artificial intelligence tools and their functionalities to help you make the right decision.
|Real-time code analysis and suggestions, code generation and translation, and rapid prototyping and exploration.
|Excellent for collaboration and taps into project databases for custom code solutions.
Can provide biased or inaccurate information; not for complex tasks and functions nor junior developers.
|Free for some users; $10 per month for individuals; $19 per user per month for business.
|Solves problems, creates algorithms, and turns them into code. Can generate entire programs and then apply smart filters.
Can apply critical thinking to solve problems, similar to human intelligence.
|It can go wrong in more complex solutions. It needs very precise descriptions of the problems it needs to solve.
|Free to use.
|Text generator that can create and translate simple code.
|Instant answers to natural language queries.
|Can provide biased or inaccurate information; not for complex tasks and functions.
|A free version is available. Plus version is $20/month.
|Generates SQL queries based on project-specific databases.
|The results are instant and accurate, and it's suitable for junior developers. Has an intuitive interface.
|There is no free version.
|Monthly plan at $10 and a yearly plan at $100.
|Turns prompts and comments into code, explains, tests, and refactors previously written code.
|Can offer feature suggestions for applications. Improves software security and performance. Useful for documenting code.
|Cannot handle complex tasks. Can generate biased or inaccurate outputs.
|Free to use.
Code completion and generation in many programming languages.
|Can generate complete functions and blocks of code. Can host it locally on-premise, on a secure SaaS, or using a VPC. Integrates easily with most of the popular IDEs and adapts to your codebase.
|Outputs may take a while to appear. Doesn’t provide debugging or refactoring.
|Free version as a starter package. Pro package at $12 per user per month. Pricing for the Enterprise package is determined individually.
|Can turn prompts, comments, and project code into complete functions.
|It filters and flags code similar to training data. It’s versatile and optimized for use with AWS.
|It can go wrong, especially on non-AWS platforms. It can’t handle complex tasks.
The individual tier is available free of charge. The professional tier costs $19 per user per month.
How Can Businesses Use Generative AI Tools?
Businesses can use new generative AI to streamline tasks, save time and money, and boost productivity. Here are some major ways your company can use these artificial intelligence tools in the development process:
- Generate and review code
- Generate tests
- Identify trends and patterns
- Suggest features for new products (generative design)
- Remedy bugs
- Automate tasks and deployment
- Improve customer support via chatbots
As an example, we at Geniusee use AI-powered app development to help transform businesses. Some of our AI applications in development include generative AI development, prompt engineering, AI-powered search, AI chatbot development and integration, natural language processing, computer vision, anomaly detection, and predictive analytics.
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Whether you need to write, test, or review a piece of code or create an SQL query, generative AI tools are there to help. You can get instant solutions to your problems.
But keep in mind the limitations of the programs you are using. Some may be better suited for small and very specific tasks, while others can solve more complex problems. Some offer multiple hosting options for better security, while others don’t. Carefully weigh your options and potential risks to pick the right tool for your existing structure and budget.
1. What is the best generative AI app for developers?
The best generative AI apps are the ones that fit your project needs and budget. Top choices include Copilot, Bard, Alpha Code, AI Query, TabNine, and Amazon Code Whisperer. ChatGPT Plus can also produce solid AI content thanks to the upgrade from GPT-3 to GPT-4 language model.
2. Is generative AI worth the investment?
Savings from having a smaller, more productive team that gets products to market quickly and free of bugs make generative AI solutions worth the investment.