Built a tray app that watches what AI coding agents do on your machine. Here's what I found
Summary
A developer built a tray app that monitors AI coding agents operating on their machine and shares findings from the observations.
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Agent Activity
Agent Activity is a macOS tool that lets developers monitor their AI coding agents — sessions, builds, test runs, and screenshots — in real time per agent by reading local data from Claude Code and Xcode, with usage/crash data shared only after opt-in consent.
Posted here previously about an app that watches what Claude/Cursor do. Got some genuinely useful pushback, so I rebuilt the core engine.
A developer rebuilt the core engine of an app that monitors AI coding tools like Claude and Cursor after receiving pushback from the community.
Built a broadcast dashboard monitoring AI agent developments across 21 primary sources - here's what I'm tracking and what's missing
A user describes building a broadcast dashboard that tracks AI agent developments across 21 sources including arXiv, GitHub, and Hugging Face, noting strengths and gaps in coverage.
@geekbb: No more digging through terminal tabs when running multiple AI coding agents simultaneously. The kanban board gives you an instant overview of who is working, who is waiting, and who is done. https://github.com/lanes-sh/app
Lanes is a native macOS desktop application that serves as a mission control for managing multiple AI coding agents, featuring an issue board, live embedded terminals, and Git integration to streamline developer workflows.
Should AI agents be able to see what the application is actually doing?
A discussion of AI coding agents needing runtime awareness beyond source code, such as inspecting containers, ports, and services, and considering how much control agents should have over development environments.