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What is Havoptic?

Havoptic is a free, open-source tracker that monitors release updates and changelogs from multiple AI coding assistants in a single dashboard. Instead of checking each tool's website separately, you can see new versions, feature additions, and bug fixes from Cursor, Codex CLI, Gemini CLI, Claude Code, GitHub Copilot CLI, Kiro, and Windsurf all in one place. This tool is designed for developers who use several AI coding tools and want to stay informed about updates without constant manual checking. It aggregates changelog data automatically, so you can quickly spot new capabilities or improvements that might affect your workflow. Since Havoptic is open-source, anyone can contribute improvements or add support for additional tools. There are no paywalls or required accounts, making it accessible to all developers regardless of budget.

Key Features

Centralised changelog aggregation

View updates from multiple AI coding tools in one interface

Version tracking

Monitor current and previous versions of each supported tool

Open-source codebase

Inspect the code, contribute improvements, or self-host the tracker

Multi-tool support

Covers Cursor, Codex CLI, Gemini CLI, Claude Code, GitHub Copilot CLI, Kiro, and Windsurf

No authentication required

Access all features without creating an account

Pros & Cons

Advantages

  • Saves time by eliminating the need to check each tool's changelog individually
  • Completely free and open-source with no hidden costs or premium tiers
  • Community-driven; you can request new tools to be added or contribute code yourself
  • Simple, straightforward interface focused on essential information

Limitations

  • Dependent on manual updates or integrations; changelogs may lag behind actual releases
  • Limited to supported tools; if you use an AI coding tool not yet listed, it won't be tracked
  • Community project means update frequency and maintenance depend on contributor availability

Use Cases

Staying informed about feature releases across your entire AI coding tool stack

Identifying when new capabilities might solve problems in your current workflow

Comparing release cadences and feature focus across different AI coding assistants

Contributing to an open-source project by adding support for additional tools

Tracking deprecations or breaking changes before they affect your projects