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bigarrow: The Mac App That Points AI Agents at What to Click

What Is bigarrow bigarrow is a Mac app that shows AI agents where to click. It puts a big arrow on your screen pointing at the button or element you need to press. The arrow appears, you click where it points, then it disappears. The idea is simple: AI agents can see your screen but they can't always tell you where to click. bigarrow bridges that gap. It's like having a finger pointing at the…

bigarrow is a Mac application that assists AI agents by providing visual guidance on where to click on a screen. The app displays a large arrow pointing at the exact location where an action needs to be performed. Users can integrate bigarrow with various AI agents such as Claude Code, Codex, and others that can output coordinates.

The key features of bigarrow include visual pointing, agent integration, customizable arrows, keyboard shortcuts, multi-monitor support, and lightweight design. Users have praised the visual pointing and agent integration capabilities of bigarrow, as they have found it to save time and reduce guesswork when automating complex UI workflows.

The lightweight design of the app also receives high marks, with minimal impact on CPU and memory usage. However, bigarrow is not without its limitations. Some users have reported issues with coordinate accuracy, particularly with the auto-detect feature, which may not always point to the intended element. Additionally, multi-monitor support has been noted to have occasional glitches, causing the arrow to appear on the wrong monitor.

Keyboard shortcuts can also conflict with other applications, leading to frustration. Despite these shortcomings, bigarrow is considered one of the best options for developers who want better visual feedback from their AI agents. The app is free for personal use, with a one-time purchase available for additional features. While the app is Mac-only, there are no plans to release versions for Windows or Linux at this time.

Overall, bigarrow is a valuable tool for those seeking a way to bridge the gap between AI agents and human users when it comes to clicking the correct elements on a screen.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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