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10 AI Tools Transforming Web Development in 2024

July 01, 2024
8 min

Artificial intelligence (AI) was once a technology only seen in science fiction movies on television, often portraying AI as a frightening, conscious being seeking to enslave humans. Many thought that such technology would only be possible in the distant future. But that very 'future’ has arrived and today web developers are taking full advantage of AI tools integration to create beautiful, functional websites that make life easier for users.

In recent years, web design and development has evolved beyond our expectations. The best web developers are always looking for new ways to use new technologies to boggle our collective minds.

In our article, we’ll take a closer look at 10 cool and relevant AI tools for web development that we think will make a real boom in web development in 2024 and their key capabilities. These technologies will be able to really pump up workflows and open up new opportunities to create absolutely impressive web applications.

AI tools enhancing coding and debugging

The future of programming is definitely behind human-machine collaboration, where AI web development tools will become indispensable assistants for developers.

In the domain of computer science and engineering, AI tools for web development are opening new opportunities, such as automating the code-writing process and improving debugging efficiency. An AI assistant can analyze code, identify potential problems, and suggest optimizing changes. It knows how to write functions and modules based on explanations and requirements automatically. Moreover, it can find and fix errors faster than anyone else.

GitHub Copilot

Copilot Enterprise AI developer tool

GitHub Copilot is one of the AI tools for software development that is changing the way developers approach everyday coding. It supports all popular programming languages and frameworks, provides autocomplete prompts, and generates code snippets using Microsoft's OpenAI Codex system.

Opportunities:

  • Bug fixing and refactoring: Copilot identifies and suggests bug fixes, as well as options for improving code readability and performance;
  • Language and context adaptation: Copilot is trained on an extensive code base, so it effectively helps regardless of the programming language;
  • Automatic code augmentation and generation: Copilot analyzes the context and suggests suitable code snippets or generates code from natural language descriptions;
  • Integration with popular editors: Copilot is easily embedded in mainstream development environments, making it available in familiar work environments.

The model is trained on the open-source repositories of GitHub, the world's largest source code community with over 100 million developers.

Copilot analyzes the context of working code and provides relevant hints to augment it, thereby reducing the time spent on routine operations and increasing the time that can be devoted to creative tasks.

DeepCode

DeepCode AI is a valuable asset for developers and teams looking to improve their code’s quality, security, and efficiency. Think of it as a "spell checker" for code, only much smarter!

It is one of the best AI tools for web development. Itthoroughly scans your code, finding bugs, potential security vulnerabilities, and areas where the code can be improved. Its advanced AI capabilities and real-time feedback make it a must-have tool for modern software development.

Opportunities:

  • Bug detection: Accurately identifies bugs and potential problems in your code base, saving hours of debugging time;
  • Security analysis: Uncovers vulnerabilities that could make your software vulnerable to attack;
  • Code quality suggestions: Offers recommendations on how to make your code cleaner, more efficient, and easier to maintain;
  • Real-time feedback: Provides instant analysis as you write code, helping you identify problems early;
  • Integrated development environment (IDE) integration: Works seamlessly in popular code editors such as Visual Studio Code and JetBrains.

Integrating AI tools for software development into coding and debugging is still in its infancy, with promising developments on the horizon, such as neural programming interfaces that will one day allow us to simply verbally describe a software function and automatically code it. This growing partnership between humans and artificial intelligence is set to redefine what we believe is possible in software creation and beyond.

AI for frontend development

UI/UX design services have been enabled by AI technologies, allowing frontend developers to enhance the user interface and user experience of web applications. One of the most significant benefits of AI in front-end development is its ability to enhance personalization.

By analyzing user behavior, web development AI tools can tailor content, recommend products, and adapt the interface to each user's preferences. The use of artificial intelligence can reduce development efforts by automating repetitive tasks, generating code snippets, and providing intelligent suggestions, which simplifies the front-end development process.

By harnessing the power of artificial intelligence, front-end developers can achieve higher productivity and efficiency, providing users with an exceptional web experience in less time.

Adobe Sensei

Adobe Sensei artificial intelligence appeared on the market back in 2016, but became actively demanded only a few years ago.

It represents design, development, and testing on a single platform, which is very convenient. It is one tool that has everything you need for your work.

Opportunities:

  • Automatic transformation of shapes and elements;
  • Operational business intelligence;
  • Content creation using artificial intelligence;
  • Marketing personalization;
  • Workflow automation.

The service creates high-quality graphics that automatically adjust to the size and resolution of the screen. The function of content effectiveness forecasting will help optimize the advertising campaign strategy and save the team's resources.

Figma AI

The popular design tool Figma has cool new features that make the work of web developers much easier. For example, a designer draws a button, and Figma AI generates HTML, CSS, and React code for it. So handy, isn't it?

Figma's advanced generative capabilities

Opportunities:

  • Automatic code generation: HTML, CSS, React/Vue from design;
  • Automatic generation of components: adaptive, ready to use, as well as creation of their variations - for different states;
  • Analyzing the availability and quality of the design;
  • Speeding up the development process.

In general, Figma AI helps front-enders a lot by speeding up and simplifying their work. It's a real boon because you don't have to spend a lot of time on routine actions anymore - you can focus on creating cool interfaces right away.

Furthermore, various generative AI tools for software development can assist with tasks such as code generation, bug fixing, and even full software architecture design.

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AI in backend development

The backend serves as the foundation for any complex application. This is especially true for applications that require secure data management, business logic processing, and service integration.

Using top AI tools for web development in the backend increases server systems' efficiency, flexibility, and security. These enhancements come from automating testing, threat detection, resource optimization, service personalization, and other intelligent tasks.

Tabnine

It is the ultimate companion for developers of all levels, making coding faster and easier than ever before and fully integrated with IDEs. Millions of developers around the world trust it to improve code delivery.

Tabnine uses advanced AI algorithms to analyze code, recognize patterns, and suggest the best way to complete what you've written. All you have to do is accept the offer, and Tabnine will do the rest.

Opportunities:

  • Code automation;
  • Custom adaptation (to a specific code base and coding style);
  • Writing complex code;
  • Coding optimization using autocomplete;
  • Code debugging;
  • AI-powered auto-completion;
  • Context-based code prediction;
  • Error detection and correction;
  • Multi-language support;
  • Integration with popular IDEs;
  • Customizable parameters.

The tool integrates seamlessly into your existing coding environment, providing a smooth coding experience without extensive customization. Leveraging advanced algorithms and machine learning methods, Tabnine is able to supply high-quality services that continuously enhance in sync with your evolving codebase.

By simplifying your workflow and protecting your code, Tabnine is an indispensable companion for developers of all backgrounds.

Kite

One of the best AI tools for web development, Kite has a monthly audience of 350 thousand people. In comparison, Kite was used by 30+ thousand Python developers in January 2023.

Kite AI assistant code snippet

Opportunities:

  • Automation (automatic data processing and ML-model creation);
  • Scaling:Kite distributes computations across servers;
  • Easy embeddability in backend applications;
  • Tools for monitoring and updating ML models;
  • Security and fault tolerance for stable operation.

Kite simplifies and accelerates the adoption of machine learning technologies in backend development. You don't need to be an ML expert to fully exploit its benefits.

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AI for testing and quality assurance

The benefits of the best AI tools for web development in software testing include:

  • Improved test coverage;
  • Faster test cycles;
  • Early defect detection;
  • Reduced manual effort;
  • Improved software quality;
  • Efficient resource utilization.

AI enables testers to produce high-quality software in a shorter time.

Testim

It provides stable, self-healing, end-to-end test automation with machine learning. Testim.io is one of the test automation AI code development tools that doesn't require writing code. Anyone can create tests, save them, and rerun them at any time. You can create your test automation package as you go and reuse tests as regression as you go through an agile workflow.

Opportunities:

  • Create tests in minutes by simply using your application;
  • Easy manageability and running tests with multiple data sets;
  • Reducing 90% of test maintenance with self-learning tests;
  • Increased coverage with automated tests created on the fly with each bug report;
  • Development Driven Testing (DDT) support.

You can create tests by clicking your app or using your code. Currently, Testim supports Chrome, Firefox, Safari, IE, and Edge. Additionally, it can be integrated with any CI/CD tool for continuous delivery, including Slack, Jira, and Git.

Applitools

Visual testing AI-powered development tools, Applitools, use computer vision algorithms to analyze and compare the visual aspects of applications. These tools can automatically detect visual inconsistencies, ensuring that an application's layout, design, and aesthetics are consistent across devices, platforms, and browsers.

Opportunities:

  • Visual testing of web pages and mobile applications;
  • Cross-browser testing;
  • Comparison of the current look of pages with reference pages;
  • Change management (tracking and reconciliation);
  • CI/CD integration - embedding into automated delivery pipelines;
  • Detailed analytics and reports on test results.

This tool is great for testing layouts. For example, when you need to quickly check a lot of pages with a bunch of different elements. So, the tool helps you ensure that each element is in its place, nothing is missing, and nothing has moved away.

AI for performance optimization

Web developers are always looking for ways to improve their website performance and SEO (search engine optimization) to get higher rankings on Google and other search engines. And it's not something you can set up once and forget. Web innovation is constantly evolving and to keep up with the times a great resource is needed. In this context, the capabilities of AI tools for web development are really impressive. They have become indispensable tools to improve performance and user experience.

Google Lighthouse and Cloudinary are two popular examples of using AI technology to optimize web performance in 2024.

Google Lighthouse

Google Lighthouse is an automated tool for analyzing website performance, and it's free. Using AI, Lighthouse thoroughly analyzes web pages and provides developers with recommendations to improve performance, accessibility, and other important aspects of web development. Lighthouse audits can be performed on individual pages or entire websites.

Google Lighthouse: Website performance analysis tool

Opportunities:

  • Speeding up site loading by optimizing resources, including images;
  • Analyzing loading times to understand where delays occur;
  • Speeding up the loading of the original page content;
  • Optimizing the network capabilities of the site;
  • JavaScript optimization.

Lighthouse provides clear analysis results with specific recommendations for optimizing load times, resource usage, image handling, and other important aspects. With these helpful capabilities, it becomes an indispensable assistant in the process of improving productivity.

Cloudinary

Presents a full-featured media service that stores, converts, optimizes, and delivers all your media assets through easy-to-use APIs and widgets.

Opportunities:

  • Analyzing downloaded media and applying various compression and encoding techniques to it to minimize its size and maximize performance;
  • Applying effects, filters, and other various image and video transformations;
  • Distribution of media files over a global content delivery network for fast downloading;
  • Easy integration with popular CMS, frameworks, and e-commerce platforms.

Suitable if you need to create a feature/application that stores tons of images and videos or create a UI that allows you to upload single and multiple images.

Conclusion

Integrating web development AI tools into website building is not just a passing trend — it’s necessary in our accelerated, digital-first world.

The impact of artificial intelligence on custom software development is certainly transformational, but it still cannot replace the unique human approach that drives innovation and creativity. Artificial intelligence is great at automating repetitive tasks, improving code quality, and offering optimizations.

However, AI lacks the ability to think outside the box, present new concepts, or understand the nuances of complex systems. The future of software development is human-machine interaction, a symbiosis between humans and AI, where the latter enhances human capabilities and human developers continue to drive innovation.

AI-powered web development is made easy with Codica's helping hand. Just let our team introduce you to the power of AI-enabled web development and help you achieve your digital goals: get in touch with us today.

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Pavlo is a skilled author who is passionate about innovations. He highlights complex tech and business topics with structured and thorough research.
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