Guest author: Asim Rahal, Evangelist of cloud security, data protection and cyber risk awareness
AI has changed how organisations and developers approach frontend projects. From generating code, to transforming designs into functional interfaces in minutes, AI is now an important component in the modern frontend workflow.
Atlassian claims 68% of developers save at least 10 hours each week with AI. That saved time translates into better productivity, and more time to work on improving the user experience rather than repetitive coding tasks.
With so many great AI tools available, we’ve narrowed it down to five options that stand out specifically for front end development in 2025.
Github Copilot
GitHub Copilot remains the go-to AI coding assistant for millions of developers, and is a trusted partner for frontend engineers looking to speed up their workflow. Rather than manually typing code for every button, form, or layout, developers can describe what they need in a comment and watch Copilot generate the code in real time.
While this capability is pretty standard among frontend AI tools, what sets Copilot apart is how well it integrates into existing workflows. Developers never have to leave their existing IDE, because Copilot works wherever they are.
Whether they’re coding in VS Code, WebStorm, or other IDE, Copilot delivers relevant suggestions in the moment without interrupting the developer’s flow or forcing them out of the tools they’re comfortable with.
AutonomyAI
Rather than focusing on in-editor assistance, AutonomyAI specialises in high-level frontend automation. It’s a dedicated platform where teams can take a frontend project or design specification and transform it into clean, production-ready code.
AutonomyAI deploys a team of specialised AI agents that understand an existing frontend codebase, interpret UI designs from tools like Figma or design specifications documented in Jira. Using natural language, front end teams can provide instructions to generate production-ready components.
The main benefit from the tool lies in its contextual awareness. Thanks to its AI agents, AutonomyAI has an understanding of how each component or style plays into the end product, making it ideal for ambitious projects with complex dependencies.
Cursor
Cursor takes the familiar coding environment of VS Code and powers it with AI capabilities. It’s a natural fit for frontend developers used to working in a VS Code-style environment but who want to take advantage of natural language coding.
Cursor’s AI chat is aware of each project’s files, so developers can ask it to locate a specific component or update a design pattern in several files. A simple, conversational prompt like “can you make this component responsive?” is all it takes for Cursor to apply changes to the codebase.
This can be a massive time-saver for frontend developers, who can sometimes spend hours just finding the right files or figuring out dependencies.
Google Stitch
Introduced at Google’s 2025 annual I/O developer conference, Stitch aims to bridge the gap between design and development. It accepts text and image inputs, giving frontend teams plenty of freedom in how they feed in requirements. This feature is particularly useful for quick prototyping.
Stitch is built on Gemini 2.5 Pro model, which makes it capable of understanding each prompt and generating UI designs and frontend code in minutes.
The tool is integrated with Google’s other developer services, including Android Studio, Firebase, and Figma via plugins, allowing for transition from concept to production without switching between environments.
Locofy.ai
Locofy is a versatile AI frontend tool that integrates with well-known design platforms and has built-in support for UI libraries like Material UI, Chakra, and Bootstrap. Once a design is imported, developers can refine output by tagging elements, setting responsive behaviours, and creating reusable components.
With this approach, a frontend project can go from static design to fully-functional code in a matter of hours. Then, the frontend team can focus on polishing the user experience and connecting the interface to live data sources.
Locofy comes with plenty of export options so teams can generate code in React, Next.js, or HTML/CSS. The tool also supports Github integration to commit code changes and collaborate with other developers.
Final Thoughts
AI has moved on from being a novelty in frontend development to becoming a competitive necessity. The tools we listed highlight how advanced today’s solutions have become, and the industry is only in the early stages of a shift that redefines how dev teams approach creating effective and memorable user interfaces.
The future of frontend belongs to those ready to build faster, smarter, and with AI as co-pilot.
Guest author: Asim Rahal, Evangelist of cloud security, data protection and cyber risk awareness
Image source: Unsplash
