10 must-try AI tools for web development in 2025

Web development is entering a new era in which artificial intelligence is not merely an add-on but increasingly embedded into the workflow. Whether it’s writing code, designing interfaces, or managing content, AI-driven tools speed up tedious tasks and boost productivity.

But with so many options around, which AI tools for web development can truly make a difference? Let’s find out.

But first things first,

#What are AI web development tools?

AI web development tools are software that use artificial intelligence to streamline and improve the process of building and maintaining websites and web applications. They cut down on repetitive or manual work by automating tasks in coding, design, content creation, testing, and other processes.

#Where does AI stand in web development in 2025?

It’s now safe to say that by 2025, AI has evolved from a novelty to a basic expectation in web development. Developers have eagerly embraced AI assistants as standard parts of their toolkit.

In fact, a recent Stack Overflow survey found that 84% of developers are using or planning to use AI tools in their development process, which is up from 76% the year before. Over half of professional developers now regularly use AI when coding, according to the same survey.

More importantly, these tools are proving their value.

For example, GitHub reports that programmers using its Copilot AI helper complete a coding task 55% faster than those without it. Developers say tools like that help conserve their mental energy and let them focus on more satisfying creative work instead of boilerplate code

By now, every stage of web development can benefit from AI in some form.

#3 types of AI web development tools

Frontend developers might use tools that turn natural language prompts into actual code snippets in real time. Other tools assist with content generation by localizing copy, checking SEO keywords, or improving user experience by personalizing content for each visitor.

By handling these routine tasks, AI tools free up content creators and developers to focus on creativity and solving higher-level problems.

But although speed and automation are important for delivering results, Gartner predicts that by 2027, the differentiator among AI offerings will be robust governance.

This means you should choose tools that give control and transparency over AI actions. For example, there should be options to review AI-generated changes, set permissions, and maintain audit trails.

Now, let’s explore the top AI tools you should consider, broken down into three categories of web development tasks.

#10 best AI tools for web development

AI tools can provide value in all three major parts of the web development process: managing content and websites, designing the user interface, and writing and reviewing code.

1. Hygraph
2. Contentful
3. Contentstack
4. Sanity
5. GitHub Copilot
6. Amazon Q Developer
7. Tabnine
8. Wix AI Website Builder
9. Uizard
10. Framer AI

Below, we highlight the best options in each category.

#AI-enhanced CMS & content platforms

This category of AI-powered web development tools is especially important for large organizations with complex content operations.

Many enterprises today struggle with low content velocity caused by legacy technology, fragmented workflows between editorial and development teams, and a lack of scalable governance

Let’s look at the must-try AI-powered content platforms that can reverse the trend.

1. Hygraph — easiest to implement AI-enhanced headless CMS

Hygraph is a headless CMS that integrates autonomous AI agents directly into content workflows. Unlike competitors that simply plug a text generator into a text field, Hygraph is building AI into the fabric of content operations.

The platform is literally described as an agentic CMS, which means it can act on content rules and processes autonomously under your control.

What does that look like in practice? Hygraph’s AI agents can:

• transform unstructured inputs into structured content,
• automate repetitive workload (generate multiple content variants or fill in metadata),
• orchestrate multi-step workflows across teams,
• enforcing governance rules set by content teams.

In other words, Hygraph’s AI does much more than just write a paragraph for you.

Most importantly, all these AI actions are governed and transparent. You define what the agents are allowed to do, and approval checkpoints, audit logs, and role permissions ensure AI operates with oversight.

This focus on “velocity with governance” is a key differentiator that sets Hygraph apart from the competition. Hygraph helps enterprises accelerate content operations at scale but in a controlled, predictable way.

If you’re tired of legacy CMS platforms slowing you down and want an AI-powered solution built for complex, multi-team content workflows, Hygraph is a top option to consider.

2. Contentful

Contentful has recently introduced a suite of AI capabilities to help customers deliver content more efficiently. A standout feature is Contentful AI Actions, which allows you to embed generative AI into daily content tasks directly in the CMS interface.

For example, Contentful’s AI can draft copy for you or suggest edits, translate text into different languages, pick out SEO keywords or meta descriptions, and even check for brand guideline compliance. In a way, it serves as a smart assistant for content creators.

The good thing is that this is all built into Contentful’s web app, so content teams don’t have to switch to external tools for these functions. On the other hand, as a CMS, Contentful is still dev-heavy, so users generally don’t recommend it unless you have a developer team.

3. Contentstack

By embracing AI, Contentstack has moved from a pure content store into an intelligent digital experience platform. You can call up the AI Assistant in Contentstack’s editor to help draft or improve content. It lets you pick from integrated providers like OpenAI’s GPT-4, Azure OpenAI, or Amazon Bedrock and still stay within the familiar Contentstack UI you’re used to.

Besides content generation, Contentstack has an Automation Hub where you can integrate AI into other workflows. They’ve added connectors for AI services so that routine tasks like tagging images or categorizing content can be handled intelligently in the background.

4. Sanity

Sanity now brands itself as “a fully customizable all-code backend for AI, automations, and applications to author and render content.” This description goes hand in hand with its developer-first philosophy, as this platform prioritizes flexibility and custom code over out-of-the-box UI.

Sanity’s AI Assist plugin can help you with a range of tasks, such as setting AI prompts to specific fields or generating content directly in the Sanity Studio.

However, Sanity lacks user-friendly governance controls that non-technical teams often need. There are no native approval workflows or easy role-based content gating for AI-generated outputs.

This means that for maintaining quality and compliance, you need custom implementation and help from developers.

#AI code assistants and generators

These tools use large language models trained on billions of lines of code to suggest snippets or even entire functions as you type. They can also help find bugs and suggest improvements.

Here are three top options to try:

5. GitHub Copilot

Copilot uses OpenAI’s advanced GPT models to offer real-time suggestions and autocompletions that adapt to the context of your project. It learns from the vast open-source code on GitHub, so it can recommend idiomatic solutions to various problems.

For example, it can explain code or generate test cases on command. In other words, Copilot acts as a junior developer in your editor, ready to handle the boilerplate and let you focus on the tricky logic.

In one experiment, programmers using Copilot were able to complete a coding task in 1.3 hours vs 2.7 hours for those without it.

Users generally praise the Copilot’s pricing model and prefer its ease of setting up to competitors like Cursor.

6. Amazon Q Developer

Q Developer is an AI-powered code generator that integrates especially well if you’re building on AWS. It uses large language models and a library of open-source code to provide real-time, context-aware code suggestions.

As you write in integrated development environments (IDEs) such as VS Code or JetBrains, Q Developer will finish lines or blocks for you, tailoring them to your coding style and even your comments.

It also understands AWS APIs and services, so, for example, it can suggest code to interact with AWS Lambda or S3, which Copilot might not specifically optimize for.

7. Tabnine

Tabnine is a strong choice for enterprises that care about code privacy. Unlike cloud-only solutions, this AI code completion tool offers local models and privacy controls so your code stays secure.

It accelerates development by learning from your project’s context to suggest the next pieces of code. Many developers like Tabnine for its stability and the way it can be customized or even deployed in an air-gapped environment.

#AI design & frontend tools

AI design tools can create entire layouts, translate sketches into slick UI, and even assemble working front-end code from simple text descriptions. These tools are a blessing for anyone who needs to whip up a decent-looking site without starting from scratch.

8. Wix AI Website Builder

Wix AI Website Builder (evolved from Wix ADI) is a smart website builder — you start the process by answering a few questions in a chat about the type of site you want, your style preferences, and needs. The AI Builder then generates a complete website in a matter of minutes, including a suggested layout, images, and some starter content.

Users have noted that Wix’s AI designer is especially effective for clients who want quick deployment and ease of use.

9. Uizard

Uizard is an AI-powered UI/UX design tool in which you can type out a description of an app or webpage you have on your mind, and Uizard’s Autodesigner will generate several multi-screen mockups in seconds.

For example, you can say “a mobile app for a food delivery service with a home screen, menu, and checkout,” and Uizard will produce a clickable prototype with that flow. It combines generative AI with a drag-and-drop editor, so you can refine the AI-generated design on the spot.

10. Framer AI

Framer is ideal for designers who want to move from concept to a live webpage quickly. For example, you can ask Framer’s AI to create something like “a modern startup landing page for a project management app,” and it will roll out a responsive page with appropriate sections, dummy text, and styling.

The result isn’t just a static mockup, but a live website that you can publish, since Framer bridges design and actual website hosting.

#Final thoughts

Adopting AI tools for web development is about working smarter, not harder. Still, although speed and automation are important, governance and strategy now matter more than ever.

In practical terms, this means organizations should favor tools that integrate AI into their processes in a governed way.

Your goal — to eliminate grunt work and accelerate outcomes, but still apply human judgment where it counts — whether you start by trying a code assistant like Copilot, a design generator like Uizard, or an AI-powered CMS like Hygraph.