tegakari: Capture AI-ready UI context directly from Chrome
tegakari, by iemong, is a Chrome extension that helps frontend developers collect precise UI context for AI-assisted code editing. It captures selected elements, screenshots, and HTML metadata, then formats that information as Markdown or JSONL for AI sessions. The tool supports multi-element annotation, per-URL persistence, and export/import of annotation sets. It targets frontend engineers who use AI-powered code tools and need faster, repeatable context preparation.
Tegakari packages on-page context specifically for code-focused AI sessions
It converts selected elements into AI-ready payloads, combining automatic screenshots with extracted HTML and computed style differences so an editor can target the correct UI fragment. The extension formats output as Markdown or JSONL and mentions compatibility with agents such as Claude Code and Cursor, which reduces the need to type long manual descriptions when asking an assistant to change a component.
Data stays inside the browser to limit external exposure
All collection and processing happen locally; the extension does not transmit captured data to external servers and does not use analytics or tracking. This local-only operation preserves captured context inside the browser environment and aligns with workflows where sensitive UI state or internal markup must not leave the developer’s machine.
Deep framework analysis surfaces component-level information in development builds
It detects React and Vue component structures, including component hierarchy, Props, and State, and maps entries back to source files when builds expose that metadata. The tool also recognizes meta-frameworks like Next.js and Nuxt, which helps when you need file paths and line numbers available from a developer build for faster edits.
Exports, annotations, and project fit suit frontend debugging workflows
Annotations can be pinned and saved alongside element captures, and teams can export or import annotation sets as JSON files for handoff. The extension runs on Chrome and other Chromium-based browsers and is open-source and community-maintained, making it practical for engineers who prefer inspectable tooling and iterative, contributor-led improvements.
Tegakari is a practical, developer-oriented utility
Tegakari suits frontend engineers who pair browser inspection with AI-assisted coding, thanks to its community-driven, open-source model and reported usefulness among developers. Its design favors development workflows that can expose component metadata, and teams that accept a contributor-led roadmap benefit most. For engineers seeking an inspectable, locally processed way to feed precise UI context into assistants, this tool is a pragmatic match.
