Legbar is a new open-source terminal tool that displays AI agent sessions and GitHub CI status in a single unified view, solving a workflow problem where developers had to monitor two separate windows and manually reconcile them.
It detects when multiple agents (Claude Code and Cursor) are editing the same repository—flagging these as 'CONTESTED' collisions—and alerts developers when sessions are waiting for input longer than a configurable threshold (default 20 minutes).
The tool runs read-only, works on macOS, Linux, and Windows, and is installable via multiple package managers.
What happened
Legbar, a new terminal tool, displays live AI agent sessions (from Claude Code and Cursor) and GitHub CI/PR status side-by-side in a single view. Previously, developers had to watch two separate windows—roost for agent activity and leghorn for repo state—and manually cross-reference them.
Why it matters
Developers coordinating multiple AI agents across a codebase often run into conflicts when two agents edit the same working copy undetected. Legbar's unified discovery layer surfaces these collisions immediately (marked 'CONTESTED') and flags sessions waiting for human input after a configurable threshold (default 20 minutes), reducing the cognitive load of fleet management.
What to watch
Legbar is available via pip, npm, brew, winget, and Debian/Ubuntu apt repos; it requires Python 3.9+ and the standard library only. A known limitation is that Cursor liveness is inferred from recent transcript writes rather than probed via process ID, making it a weaker signal than Claude's approach.
Ask the AI about this article →
The problem Legbar addresses is a coordination gap in modern AI-assisted development. As developers deploy multiple concurrent AI agents—Claude Code sessions and Cursor instances—on the same machine, visibility into what each agent is doing becomes fragmented. Roost tracked agent context burn and status; leghorn showed repository CI and pull request state; but neither showed both lanes together or revealed when agents were editing the same files. The undetected collision risk is real: Cursor writes no session marker to Claude's discovery directory, so a dashboard reading only Claude's sessions would be completely blind to running Cursor agents.
Legbar solves this by building a shared discovery layer (henhouse.py) that polls both Claude's session registry and Cursor's transcript directory, and cross-references them against git state and GitHub Actions runs. The UI emphasizes the two failure modes differently: contested edits (which destroy work) are highlighted loudly from the start, while human waits (which merely delay) are unmarked until they exceed the configurable threshold—by default 20 minutes, reflecting the typical granularity of human context switches. The tool is deliberately read-only and uses ASCII-only rendering to avoid mojibake on Windows consoles, making it portable across the developer's whole fleet.
For example, today's edition would include:
AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.
Free · takes 30 seconds · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. Q&As are published on this page for other readers too.
Analyst Ming-Chi Kuo says Nvidia has revived the Rubin CPX AI accelerator with a substantially redesigned arch…
A UK study by UK AI Security Institute and Limbic AI surveyed 6,474 British adults
Broadcom's Clayton Donley says companies are doing mission-critical work with AI agents quickly, but without t…
OpenAI released a new evaluation framework on July 17, 2026, urging companies to measure AI ROI by 'useful out…
As AI agents perform real business tasks, 'Agentic Identity' (giving each AI a unique employee-like ID) and 'D…
The European Union is expanding regulation of ChatGPT and will mandate protections for minors
