AutonomyAI, a company building autonomous artificial intelligence agents to enhance front-end development, announced its launch today with $4 million in pre-seed funding.

Investors participating in the capital raise included Inbound Capital, Gilad Shany of Ion Partners and Vikram Makhiija, senior director of Google Cloud Security at Google LLC, among others.

Autonomy developed what it calls an Agentic Context Engine, or ACE, that can comprehend organizational design and use AI agents to delve deeply into a company’s codebase and organization standard to build front-end code in minutes. The company said that it wants the agentic capabilities of ACE could be the next “dev hire” for a company helping developers work faster by becoming a part of the team.

It’s capable of fetching external information such as user interface designs, use components from the codebase without needing a developer to specify, supervise, refactor or test code. It can even completely design an interface based on developer guidance.

The agent automatically maps project structure and configurations according to how developers already work, Chief Executive Adir Ben-Yehuda told SiliconANGLE in an interview.

“No manual setup is required,” Ben-Yehuda said. “It analyzes the libraries in use and adapts to the team’s coding preferences and style.”

The ACE engine runs the first time a project is opened and takes around one to two minutes on average to ingest a project and understand the preferences it learned from the codebase. Since it operates as an autonomous agent under the hood, no work is required by the user. Unless the codebase contains legacy code that the user doesn’t want ACE to copy, in which case the developer can point it at “golden components” written in the preferred style.

Ben-Yehuda said the target audience is any team working on front-end development, which is user interfaces and user experience — anything end-users experience directly such as buttons, icons, fonts, layouts and windows.

“We support any front-end project, with a strong emphasis on projects that already have internal components,” said Ben-Yehuda. “That’s where the agent shines: identifying and reusing existing components automatically, rather than writing duplicate code.”

Currently, the platform is focused on supporting React, VUE and Angular projects. It can detect if a project is using JavaScript or TypeScript and generates code in the appropriate language. The input is a Figma design URL, a web-based interface collaborative design tool for teams, or optionally a Jira ticket, and the output is a structured folder with the generated code files that implement the design, along with all the relevant assets extracted from Figma.

With Autonomy developer roles can shift in a positive way, allowing them to escape from laborious tasks such as repetitive front-end work, freeing engineers to focus on core business logic and creative problem-solving.

“We envision a future where product managers can kick off initial implementation by triggering the agent after finalizing a ticket,” added Ben-Yehuda. “They can even review and comment on early drafts before the branch reaches a developer — turning engineers into reviewers and finishers rather than implementers.”

With this funding, Ben-Yehuda said front-end development is just the beginning. The company intends to expand the AI team and accelerate the development of new agents across the developer ecosystem such as product, design and quality assurance.

He said with a powerful engine such as ACE, generative AI can interact meaningfully with codebases and could bring transformation into real-world engineering organizations.

Image: SiliconANGLE/Microsoft Designer