real-Elysia886

Modern rewrite of Todo Tree — TypeScript + Rust architecture for blazing-fast TODO scanning in VS Code

34
3
89% credibility
Found May 23, 2026 at 34 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

Todo Tree_Next is a VS Code extension that automatically finds and organizes all your TODO comments, FIXME notes, BUG markers, and markdown task lists across your entire codebase. It displays them in a searchable tree view, lets you filter by priority or tag, shows statistics in a dashboard, integrates with Git to track changes in your branch, and can share your project context with AI coding assistants so they can help you tackle your reminders.

How It Works

1
💭 You have scattered reminders across your code

You have TODO comments, FIXME notes, and task lists hidden in dozens of files across your project, and it's hard to keep track of them all.

2
📦 You install the extension

You find Todo Tree_Next in the VS Code marketplace and install it with one click. Everything sets up automatically.

3
🌳 Your reminders appear in a tree

The extension scans your entire project and shows all your TODOs organized neatly in a tree view. You can see everything at a glance.

4
You can find exactly what you need
📊
Open the dashboard

See charts showing how your TODOs are distributed and track trends over time.

🔀
Check Git changes

See what TODOs are in your current branch before merging to keep your commit clean.

🤖
Share context with AI tools

Let AI coding assistants understand your project priorities and annotate findings back into your code.

5
You stay on top of your project

With priorities, assignees, and due dates organized in one place, nothing falls through the cracks anymore.

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Star Growth

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AI-Generated Review

What is Todo-Tree-Next?

Todo-Tree-Next is a VS Code extension that finds and organizes TODO comments, FIXME markers, markdown tasks, and custom tags across your entire codebase. It's a complete rewrite of the beloved Todo Tree extension, swapping out pure JavaScript for a TypeScript frontend backed by a native Rust scanner. The result is workspace-wide TODO scanning that doesn't crawl at a snail's pace on large codebases. Beyond basic finding, it parses structured metadata from your comments—priority levels (P0-P3), assignees, due dates, labels—and exposes all of this through a dashboard, structured filter queries, and even an AI Agent API for tooling integrations.

Why is it gaining traction?

The Rust-powered scanner is the headline feature. For anyone with a massive monorepo, the difference between ripgrep-based scanning and a native binary matters. The structured query system (`tag:FIXME path:src priority:P1`) replaces fragile regex hunting, and the Git integration lets you scan only changed or staged files—useful for PR reviews. The AI Agent interface is forward-thinking: it exposes TODO debt as machine-readable JSON with recommended actions, letting coding assistants work with your backlog directly. The dashboard provides trend charts and tag distribution at a glance, turning scattered TODOs into actionable project intelligence.

Who should use this?

Developers on large TypeScript/JavaScript projects who live inside VS Code and want better TODO visibility. Teams using Git branch workflows will benefit most from the staged-file scanning and TODO debt reporting. If you're building AI-assisted tooling, the agent context API opens interesting possibilities for automated code health analysis. If your workspace is small and ripgrep already feels fast enough, the added complexity may not be worth it.

Verdict

The feature set is impressive and the Rust+TypeScript architecture shows genuine engineering ambition. However, with only 34 stars and a 0.9% credibility score, this is early-stage software from an unknown author. The 135 passing tests and benchmark suite inspire confidence, but you'd be an early adopter taking a dependency on a project with minimal community validation. Try it on a side project before committing your main development environment to it.

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