Projekt

Beyond agent interaction and preview, Projekt offers integrated file management and Git version control. The workspace includes a file explorer that displays your project’s directory structure, allowing you to browse and open files just like in a traditional IDE. The Git panel shows changed files and provides an AI-generated commit message based on the modifications, so you can commit and push with a single action. This integration means you never have to leave the workspace to run terminal commands or use a separate Git client. Additional capabilities include a clean, minimal interface that avoids feature bloat, adhering to the principle of ‘only what you need.’ There are no overwhelming settings menus or rarely used panels, which keeps the focus squarely on building and shipping.

Projekt’s overall workflow follows a simple, AI-native methodology. You start by installing the AI agent CLIs via npm on your local machine and bringing your own API keys—no additional subscriptions required. After opening any project folder without configuration, you describe what you want in natural language, and the agent begins generating code. A live preview instantly reflects the changes, giving you immediate visual feedback. From there, you can refine the output by selecting UI elements and editing them inline, or you can continue prompting for further changes. Once you’re satisfied, you commit the changes using the integrated Git tool and deploy directly. This end-to-end process conserves mental energy because it happens entirely within one window, with no need to juggle a terminal, browser, and editor separately. The tool’s design ensures that the AI does the heavy lifting while you stay in a visual, intuitive flow.

Consider a solo developer who needs to build a portfolio website quickly. With Projekt, they open the project folder and prompt: ‘Create a hero section with a bold headline and a CTA button.’ Claude Code analyzes the project, generates the component, and the live preview shows the hero immediately. The developer can click on the headline to change it to their name, adjust the button color, and see these changes reflected in code. Running Gemini in a second panel, they can ask for a dark mode stylesheet, see it generated, and apply it side-by-side. Another scenario is an indie hacker building a SaaS dashboard: they can use multiple agents to build complex UI components, tweak everything visually, and commit changes with an AI-written commit message, all without ever exiting the app. The outcome is a fully functional, polished interface delivered in a fraction of the time it would take using separate tools.

Projekt is built for indie developers, solo full-stack engineers, and technical designers who take an idea from concept to shipped product independently. Currently available as an Alpha for macOS, it invites ‘designers who engineer’ to get early access, with a download link pointing to a pricing page that suggests a straightforward model—though exact pricing details are not yet disclosed. It works with any local project folder and does not impose proprietary formats, so your code remains fully yours. The tech stack is agnostic: you bring your own API keys for the AI models you prefer, and there is no lock-in. By consolidating agent orchestration, live preview, visual editing, and version control into a single workspace, Projekt eliminates wasteful context-switching and empowers builders to harness the full potential of multiple AI coding assistants. The result is a more fluid, efficient way to build software—one that truly keeps up with the pace of modern AI-driven development.

Updated 2026-03-05