Top 10 Generative AI-based Programming Tools for Developers

Generative AI is one of the most powerful forces of change in the field of software development right now. You can use generative AI to achieve significant improvements in productivity for software development tasks. At the same time, generative AI also plays a vital role in encouraging innovation alongside ensuring faster time to market for new software solutions. Therefore, the top generative AI tools for developers have been gaining the attention of experts in the field of technology. Business owners and technology leaders want to utilize generative tools to enhance the value of software development processes.

It is important to understand how generative AI adds value to software development and identify the best tools to leverage the value of generative AI in software development. Let us learn about the top generative AI tools that you can use for software development.

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How Does Generative AI Add Value to Software Development?

Generative AI can add a significant amount of value across the software development lifecycle. It is important to note that you cannot quantify the value added by generative AI to software development. The search for answers to “Which is the best AI tool for developer?” should not be limited to code productivity.

Generative AI tools can help reduce the burden of repetitive tasks, thereby creating more time for high-value tasks. You can rely on generative AI tools as valuable resources for innovative thinking and brainstorming ideas for development. On top of that, generative AI tools can also help find the information required for software development within the stipulated time. 

However, the best generative AI tools for software development also present certain risks. Developers must watch out for risks related to privacy and bias in generative AI tools. One of the notable concerns regarding the use of generative AI in software development points to undermining the capabilities of inexperienced developers. Most importantly, developers must evaluate code created by generative AI tools to identify errors or any limitations in code.

Best Generative AI Tools for Software Development

The world has noticed sporadic growth in the number of generative AI tools with new functionalities. Interestingly, many of the generative AI tools in the market right now are free to use. Within a few months, many generative AI tools have proved their potential for utility in software development workflows. As a matter of fact, generative AI programming tools also have the potential to introduce better productivity. Generative AI apps utilize large language models to decipher language, code, and imagery.

The generative AI tools can also help answer questions, provide code snippets, or reorganize information in software development workflows. It is important to note that the tools are not perfect and would still require human supervision to deliver the desired results. At the same time, it is impossible to undermine their potential for software development when you use them in the right way. Here is an overview of the most popular generative AI tools that have become popular in the field of software development. 

• ChatGPT 

ChatGPT is the most powerful language model created by OpenAI, and it gained worldwide attention within a limited span of time. It is a top addition to the generative AI tools list for different types of tasks, including programming. ChatGPT can not only understand human queries but also generate responses in natural language. The generative AI tool uses the GPT-3.5 architecture and specializes in natural language understanding. It can work for different types of applications, including complex problem-solving as well as creative writing tasks.

ChatGPT can play a crucial role in revolutionizing software development. It serves as an interactive tool to generate code snippets and offers a conversational interface for discussing ideas. Furthermore, ChatGPT also helps software developers troubleshoot problems and receive instant suggestions for coding. It can encourage efficient and dynamic collaboration between artificial intelligence and software developers, thereby streamlining the software development process.

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• Google Gemini

Google Gemini, previously known as Google Bard, is also an innovative addition among generative AI tools that you can use in development. It is one of the most popular generative AI tools that combines the best of artificial intelligence and natural language processing. Google Gemini not only generates creative content but also helps in producing other types of content.

The most popular use cases of Google Gemini have been identified in the domain of poetry and storytelling. It utilizes advanced algorithms for understanding context and producing coherent or engaging narratives. Therefore, it can work as a unique platform where content creators can use AI to explore their creativity. 

Google Gemini plays a vital role in the field of software development by utilizing its natural language capabilities. The NLP capabilities of Google Gemini can work as drivers for enhancements in software development. Developers can use Google Gemini to write complex code by utilizing its generative AI features. The AI tool can help in code completion and offer suggestions based on the context of code development. Google Gemini also provides insights into the best practices for software development that can ultimately improve efficiency and code quality.

• GitHub Copilot

GitHub Copilot is another popular generative AI tool that can transform the domain of software development. It is one of the top generative AI tools for developers that marks a groundbreaking collaboration between OpenAI and GitHub. GitHub Copilot is a pioneering solution in the field of modern software development.

It utilizes the GPT-3.5 architecture of OpenAI and serves the benefits of intelligent code completion that transforms the coding experience. GitHub Copilot can suggest completely new lines or blocks of code along with the value of an in-depth understanding of the context. 

It is also important to understand that GitHub Copilot is more than a tool for automatically completing code. GitHub Copilot is an ideal response to “Which is the best AI tool for developer?” as it serves as your coding companion. It can be integrated easily into the developer workflow, thereby reducing the time required to create and debug code. GitHub Copilot also enhances developers’ creativity by recommending suggestions that align with the context of the project.

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• AI Query 

Another notable addition to the list of generative AI tools for software development is AI Query. It can transform software development with the help of a natural language interface that supports querying of codebases. AI Query is one of the trusted generative AI programming tools for efficient information retrieval and exploring code structures. The tool can also help developers obtain an in-depth understanding of different complex projects.

Many developers don’t like the trouble of writing complex database queries. AI Query can serve as an ideal solution to such problems. The generative AI tool can translate developer prompts into SQL queries or translate complex SQL queries into English. As of now, the tool supports Microsoft SQL Server, MySQL, PostgreSQL, and MariaDB. In addition, you can explore many other plans that support Amazon Aurora, MongoDB, Google BigQuery, and other database engines.

• What the Diff

What the Diff is also a valuable generative AI tool for simplifying the code review process in software development. It is one of the popular additions among best generative AI tools that use AI for analysis of code differences and provide valuable suggestions for enhancements. What the Diff plays a crucial role in expediting the code review cycle alongside ensuring that the modifications follow coding standards and important best practices.

What the Diff has been created as a valuable tool to support teams in reviewing code and creating better documentation. The support for integration with GitHub and GitLab repositories makes the generative AI tool useful for modern software development projects. On top of it, What the Diff also offers an accurate summary of the modifications in the code. As a result, it can help ensure that non-technical team members stay updated on the project.

• Amazon CodeWhisperer

Amazon CodeWhisperer is a comprehensive generative AI tool that you can use for software development. It uses advanced algorithms to improve the coding process by offering context-aware suggestions, code optimizations, and bug fixes. Amazon CodeWhisperer is a trusted addition to generative AI tools list with diverse software development functionalities. The AI-powered assistant helps improve code quality, boost development productivity, and streamline workflow.

One of the best reasons to use Amazon CodeWhisperer is that it offers uniform functionalities across different programming languages. It is a type of alternative to GitHub Copilot by Amazon that was trained on Amazon code and code in the public domain. Amazon CodeWhisperer also offers seamless integration with your IDE and suggests complete functions according to existing code and prompts. 

• Auto-GPT 

The list of generative AI tools that you should use for software development also includes Auto-GPT. It has the potential to become one of the most popular generative AI tools like ChatGPT in software development. As a matter of fact, some experts have described Auto-GPT as ChatGPT on steroids. It can help in automation of code generation tasks, thereby ensuring a significant reduction in development time and errors.

Auto-GPT also has the capability to understand coding patterns that can help in generating functional and coherent code snippets. It can allow developers to emphasize innovative problem-solving and high-level design traits. Auto-GPT works by facilitating independent operations of one GPT instance that would supervise other GPT instances or agents. You can access Auto-GPT through the AgentGPT web app or by installing the open-source version from GitHub repository.

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• CodeWP 

WordPress powers more than 40% of websites in the world and offers powerful functionalities for content management systems. Developers working with WordPress or popular plugins such as WooCommerce should use CodeWP. It helps generate jQuery, PHP, and JavaScript snippets that are compatible with WordPress, its database, and plugins. 

Just like most of the AI coding tools, it is a new generative AI app. Therefore, software development might have some limitations. On the other hand, CodeWP is still in the initial stages of development and introduces new features regularly. 

• Tabnine 

The search for answers to “Which is the best AI tool for developer?” also draws the limelight towards Tabnine. It is a comprehensive code completion tool that can improve the productivity of software developers. The efficiency of Tabnine revolves around the facility of context-aware suggestions. On top of it, machine learning algorithms powering Tabnine can understand the coding patterns of developers.

Tabnine can lead to timely and accurate code completion and reduce errors and typing efforts. It is a generative AI tool that leverages OpenAI Codex to come up with coding suggestions. Tabnine can ensure code completion in alignment with the conventions and style of existing codebase. The generative AI tool is accessible through different types of apps rather than being restricted to a few major IDEs.

• CodeSquire

The final addition among the popular generative AI tools for developers is CodeSquire. It is one of the trusted generative AI programming tools to obtain suggestions and relevant solutions in the coding process. The interactive nature of the generative AI tool encourages a collaborative development environment. It can help developers in effective management of challenges and efficient generation of high-quality code.

The next crucial highlight of CodeSquire points to the flexibility of using a Chrome extension. It is the ideal tool for data scientists and helps translate comments into code and write structured query language or SQL requests using natural language prompts. The most distinctive advantage of CodeSquire is the fact that you can use it in a wide range of apps.

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Final Words

The powerful features of the best generative AI tools for software development showcase only one aspect of the tools. It is also important to pay attention to the limitations of generative AI tools and how they can influence software development lifecycles. The top generative AI tools that you must use for software development include ChatGPT, Amazon CodeWhisperer, GitHub Copilot, Auto-GPT, and many others. Learn more about the workings of generative AI and how developers can utilize generative AI tools for productivity gains.