Technology • September 19, 2024

10 Best Tools for AI Assisted Software Development:

Revolutionizing the Way We Code

With the emphasis on quick and fast production, AI assisted software development is changing the way developers approach their jobs. As far as the codification is concerned, the tools for AI assisted software development are posing unprecedented potential starting with the coding process to automating several processes. These software development AI tools are not only time-savers but also error-shavers together with creativity boosters while making projects more streamlined than they have ever been. 

An illustration depicting AI-assisted software development, showcasing collaboration between humans and advanced technology.

Here, let’s examine ten of the leading AI tools for software developers and how these tools enable developers to optimize their performance. Regardless if you are a novice programmer or a seasoned developer, these AI assisted software development tools will definitely level up your game. 

1. GitHub Copilot: The Developer’s Co-Pilot 

Considering AI assisted software development and generative AI code generation tools, one of the most remarkable is GitHub Copilot. Having been trained on loads of code it fills in developers’ typing by suggesting whole lines or blocks of code. 

The image shows the homepage of GitHub Copilot, with the bold tagline stating, "The world’s most widely adopted AI developer tool." Below the tagline, there is a prominent button labeled "Get started with Copilot" inviting users to begin using the service. A banner near the top announces that "Copilot Enterprise is now available." The navigation bar at the top includes links to Product, Solutions, Resources, Open Source, Enterprise, and Pricing, along with Sign In and Sign Up buttons in the upper-right corner. The design uses a dark blue background and features the GitHub Copilot branding, emphasizing the platform's AI capabilities for developers.

image source

Not only does Copilot assist with such mundane tasks, but it also supports multiple languages, which in turn has turned into an essential tool for developers all across the globe. When it comes to working with code, rewriting it or something more challenging like optimizing algorithms, Copilot makes you feel you are not alone in the task. 

2. Tabnine: Accelerate Your Coding and Optimization 

Tabnine is the other essential tool in the software development AI tools kit that provides auto-code completion relying on machine learning. It studies the codebase and anticipates your actions, which in turn can save substantial time on coding. 

The image shows the homepage of Tabnine, an AI-powered code assistant. The bold tagline at the center reads, "The AI code assistant that you control" with emphasis on the word "you". Below the headline, the text highlights three key attributes of the platform: Private, Personalized, and Protected. Tabnine's platform is described as streamlining code generation and automating repetitive tasks, allowing developers to focus on meaningful work. There are two main buttons on the page: "Get started for free" and "Talk to an expert." The navigation bar at the top includes options for Why Tabnine?, Plans & Pricing, Supported IDEs, Docs, Blog, and options to Log in or Get started for free. The overall design emphasizes simplicity, control, and privacy for users.

image source

This tool assists you in excluding certain mistakes in coding and guarantees compliance with the industry standards. Due to its workflow flexibility, which allows it to be used through your preferred code editor, using Tabnine will benefit developers by increasing productivity. 

3. DeepCode: AI Code Analyzer for Clean Code 

For developers, it is evident that code quality is important, and DeepCode is all about it. If implemented as an AI code analyzer, it examines your code for bugs, security issues, and efficiency enhancements. The real-time feedback system of DeepCode points out certain errors that would have gone unnoticed hence providing you with sturdy Software. 

The image shows the webpage for DeepCode, which is part of the 3VC portfolio. The top section of the page has a minimalistic design, with a navigation menu that includes Home, Approach, Portfolio, Team, and Blog, along with a button in the top right corner labeled "Submit a pitch." The center of the page prominently displays the title "DEEPCODE" in large, bold text, followed by an image of three individuals, likely representing the core team or founders of DeepCode. The layout focuses on showcasing the company with simplicity, using a clean and professional design.

image source

Lastly, DeepCode is open-source and is the best AI programming tool for free, making it one of the best tools open to developers of all levels. 

4. OpenAI Codex: Higher-Level AI Programming 

If you want to be considered one of the best AI tools for software development, then, OpenAI Codex would be your go-to. This automated model underpins GitHub Copilot and gives application developers the chance to create code from words. 

The image shows a webpage from OpenAI featuring the release of OpenAI Codex. The title at the center reads "OpenAI Codex" with a date listed as August 10, 2021. The description below mentions that OpenAI Codex is an AI system that translates natural language to code and is now available through their API in private beta. A button labeled "Start using Codex" is prominently placed to encourage users to get started with the tool. The design of the page is minimalistic, with a clean white background and black text. At the bottom of the image, there is a visually appealing graphic with geometric patterns in blue, adding a modern touch to the page. The navigation bar at the top includes links for Research, Products, Safety, and Company, maintaining the simplicity and focus of the page.

image source

It’s like telling someone the details about your work in simple language and Codex providing you with that actual code. It is not about getting things done faster, it is about revolutionizing the way we program at all. 

5. Kite: AI-Powered Code Completions 

Kite is like having a helper that understands what you require and brings it without being told. It’s to assist the developers to solve a problem instead of spending time figuring out syntax errors because it provides intelligent code completions. 

The image showcases a promotional banner for Kite, a platform offering AI-Powered Autocomplete for your IDE (Integrated Development Environment). The background is a dark blue with colorful dots and a partially visible globe graphic on the bottom right, suggesting a tech-driven, global solution. The Kite logo is placed at the top left, with bold white text emphasizing the platform's AI-powered autocomplete functionality, designed to enhance coding efficiency within development environments.

image source

Being one of the latest AI tools for developers to use, Kite still progresses, assisting programmers in Python, JavaScript, and more. It’s a must-try for anyone who would like to level up with their coding skills. 

6. Ponicode: Testing Made Easy 

Testing is an important but sometimes lengthy process in the process of software development. Here comes Ponicode, an AI platform that assists with unit testing by creating tests for the code. This gives developers the confidence that the code is actually going to work, removing the guesswork. 

The image shows the GitHub profile page for Ponicode, a platform focused on improving code quality through unit test acceleration. The tagline under the logo reads, "Code quality has never been so accessible." A notification at the top announces that Ponicode has been acquired by CircleCI, with a link to the announcement. The page includes an overview section with links to Ponicode's website, Twitter, Slack, and LinkedIn profiles. The people section shows four profile pictures of team members, and the top languages used on the platform include JavaScript, Python, Java, Go, and HTML. The page presents Ponicode as a French startup aiming to help developers improve code quality through efficient unit test processes. The design is simple and professional, highlighting important information about the company and its recent acquisition.

image source

Ponicode helps developers by saving hours of manual testing, giving you more time to focus on what matters: It’ll Help Create Wonderful Software. When testing gets more efficient, it is not shocking that this improves the quality of this AI tool for coders. 

7. Snyk: AI-Powered Security 

Security cannot be an afterthought in software, and Snyk is an artificial intelligence-powered software development tool primarily concerned with the security of the code. This rolls over your code and checks for security breaches then gives a guide on how to fix them. 

The image displays the homepage of Snyk, a platform focused on security for developers. The headline reads "Develop fast. Stay secure." The accompanying text explains that Snyk provides visibility, context, and control to help developers reduce application risk. Below the text, there is a prominent button labeled "Book a live demo" inviting users to explore the platform's offerings. The top navigation bar includes links for Products, Resources, Company, and Pricing, along with options to Log in, Sign up, and Book a live demo. The design uses a sleek, dark blue background with contrasting orange text, creating a modern, tech-focused aesthetic. The page emphasizes speed, security, and collaboration in application development.

image source

As the cyber threats become rampant, Snyk assists the developers in staying ahead of the threats, hence ensuring that the applications are secure even as the developers work hard on the speed at which applications are developed.

8. CodeT5: A New Frontier in AI for Developers 

CodeT5 is a relatively new, AI-based tool from Salesforce that presents a novel generative AI coding tool for software development. This can also perform code completion, generation, and even code summarization making it a handy tool for developers. 

The image shows the GitHub repository page for CodeT5, which is maintained by Salesforce. The repository is public and is titled "CodeT5", with a description stating it is the Home of CodeT5: Open Code LLMs for Code Understanding and Generation. The main section of the page displays a list of files and folders such as CodeT5+, CODEOWNERS, LICENSE.txt, and README.md, showing their last updates, some as recently as last year. There are various branches and tags available, and the current branch in view is main. On the right-hand side, there is an About section, providing links to an arXiv paper and relevant tags like code-generation, language-model, code-understanding, and large-language-models. This section also includes repository statistics such as 2.8k stars and the number of forks. The top navigation bar includes GitHub's familiar options like Code, Issues, Pull requests, Actions, Projects, Security, and Insights, as well as options to Sign in or Sign up.

image source

It specifically saves much time on routine code and accelerates the execution of complex operations, so it is valuable for developers on large projects. 

9. PyCharm’s AI-Assisted Software Assistant: Smarter Python Coding 

PyCharm also comes equipped with an intelligent coding assistant for Python developers. Whether you need help with code completions, errors, or debugging, rely on PyCharm as your best bet.

The image shows the documentation page for the AI Assistant feature in PyCharm 2024.2. The heading at the center reads "AI Assistant", with a note that it was last modified on 05 September 2024. The description explains that the AI Assistant provides AI-powered features for software development, such as explaining code, answering questions about code fragments, providing code suggestions, generating documentation, and assisting with commit messages. A sidebar on the left lists various topics, including Getting started, Configure PyCharm, Work with source code, Python, Languages and frameworks, and a specific section on AI Assistant. Under the AI Assistant, there are sub-options like Chat with AI, Use AI in editor, and Generate documentation with AI. The right-hand sidebar outlines further details about enabling and using the AI Assistant, including links to topics like JetBrains AI Service licensing, How we handle your code and data, and more. The top of the page includes a blue button labeled "Get PyCharm", along with navigation options and shortcuts for different platforms. The page design is clean and informative, guiding users on how to activate and use the AI Assistant in PyCharm.

image source

It is compatible with Python-specific libraries and frameworks making it one of the most appealing AI tools for programming. PyCharm’s AI assistant is a must-have if Python is your language of the game. 

10. Blackbox: Code Search Meets AI Assisted Software Development

At times, the most challenging concept in coding is searching for the correct piece of code or snippet to use. Blackbox, an AI search engine, allows developers to search code snippets across repositories of codebases in real-time. But it doesn’t just tell you where the code is—it tells you what the code does before using it. 

The image shows the interface of Blackbox AI, a platform that provides various AI-powered functionalities. The main heading reads "Ask Blackbox AI Anything." Below the heading, there are four options presented as prompts: I want to learn something new Generate Image of a Tesla Car Generate a MAP from Repo Image to App Above these options, the toolbar features buttons such as New, Image Generation, Github Chat, Image To App, Create Agent, and a highlighted button for the VSCode Extension. There is a search bar at the bottom labeled "Message Blackbox..." where users can type queries or commands. The platform claims to be "Trusted by Millions of Users & Fortune 500 Companies," suggesting its popularity and reliability in the tech community. The overall design is clean and user-friendly, allowing users to interact with AI for various tasks.

image source

Blackbox is an AI tool for business development and is useful for startups that plan to grow fast but need to maintain the quality of code. 

The Advantages of Assisted Software Development 

Why is the transition to the use of AI-assisted software development such a breakthrough? Here are several compelling reasons:

Faster Development

AI tools will help minimize the time that software developers spend coding through automating the process such that only pertinent coding can be done. What this means is that developers get more time on their hands and can thus be able to work out more issues revolving around the applications as well as more on the functionality of the applications.

Fewer Errors

Programmable AI code analyzers and automated testing ensure better quality of the code and lessen the chances of finding out the problem at a later stage. These tools assist in keeping high reliability levels of software through detection of errors at the early state of development.

Increased Productivity

Features like code completion and generation is some of the ways by which the AI helps developers to do more in a few time. It also improves engagement by individual developers, as well as the team’s overall work output and the time it takes to complete projects.

Enhanced Security

Snyk, for example, tends to provide users with potential vulnerabilities that may be exploited and helps developers safeguard the application. But if security measures can be implemented into the development process then it will be possible to create more secure applications.

A collection of AI tools designed to enhance and streamline software development processes and workflows.

AI Assisted Software Development Tools: Prospective Software Development 

Admittedly, the trend of applying AI in software development is ineluctable at this point. These AI programming tools are now evolving work processes, improving the creative process, and minimizing mistakes. Small startups and big companies alike must embrace AI tools for software development rather than consider it an option. 

Due to the constant growth in generative AI code generation tools and AI code analyzers, developers are better positioned than they have ever been. AI transforms software development by completing simple tasks in record time and making the codes we write more intelligent. And the future is already here. 

Looking for tools that will assist you in managing your software projects? Check this out!

How AI Tools Are Changing the Future of Software Development

Such tools do not only help the developers in their tasks; but rather they are revolutionizing the way code and software should be created. Here are a few ways AI is shaping the future of software development:

  • Greater Collaboration: An effective use of AI tools promotes better co-ordination of the working teams by allowing the developers to forward the code snippets and solutions more proficiently; and hence improve the knowledge and abilities of the entire group.
  • Continuous Learning: Such changes being learned by the developers through feedback of the tools, improves the developers overall coding habits besides enhancing their thinking ability to solve problems.
  • Focus on Creativity: When AI is dealing with routine and drudgery work, developers are free to code in the more creative approach, such as in UI and designs, as well as additional bells and whistles.
  • Democratization of Coding: AI tools that do not require programming skills from the user allow everyone to contribute to software development thus diversifying the talent pool and bringing along diversity in tech.

Conclusion: AI Assisted Software Development as The Savior for Programmers

The above-mentioned best AI tools for coders are just the tip of the iceberg of what can be accomplished in the realm of AI assisted software development. The application of these AI tools in business development can not only increase developers’ efficiency but also create boundless possibilities for developers. Thus, AI-assisted software development will drive the next wave of innovation in programming, demanding faster and smarter coding.

Whether you are a freelance developer or work within a team, it’s about time to start utilizing AI-assisted software development. When you are equipped with the proper equipment, there is virtually nothing you cannot do. 

Categories

Tags