gittools-bot/homebrew-core
Jan 2026 – Jan 2026
1 Month active
Languages Used
GoRuby
Technical Skills
AI integrationpackage managementsoftware testingterminal UI development
Drew Robinson
PROFILE
Drew Robinson
Drew Robinson developed a terminal-based UI for the Beads issue tracker in the gittools-bot/homebrew-core repository, focusing on enhancing project management workflows. Leveraging Go and Ruby, Drew implemented an interactive dependency graph and integrated an AI agent that produces deterministic JSON outputs to streamline triage, planning, and prioritization. The solution supports multiple visualization modes, including list, Kanban, graph, tree, and an insights dashboard, providing stakeholders with improved visibility and automation. Released as beads_viewer 0.12.1, the work demonstrates depth in AI integration, package management, and terminal UI development, with careful attention to release quality and traceability throughout the process.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
25
Activity Months1
Your Network
263 peopleWork History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for gittools-bot/homebrew-core: Delivered a terminal-based UI for the Beads issue tracker featuring an interactive dependency graph and AI agent integration. Released beads_viewer 0.12.1 as a new Homebrew core formula, enabling multiple views (list, Kanban, graph, tree, insights dashboard) and deterministic JSON AI outputs for triage, planning, and prioritization. The work enhances project management efficiency, accelerates triage and planning cycles, and improves visibility for stakeholders through visualization and automation.
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for gittools-bot/homebrew-core: Delivered a terminal-based UI for the Beads issue tracker featuring an interactive dependency graph and AI agent integration. Released beads_viewer 0.12.1 as a new Homebrew core formula, enabling multiple views (list, Kanban, graph, tree, insights dashboard) and deterministic JSON AI outputs for triage, planning, and prioritization. The work enhances project management efficiency, accelerates triage and planning cycles, and improves visibility for stakeholders through visualization and automation.
January 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
GoRuby
Technical Skills
AI integrationpackage managementsoftware testingterminal UI development
Repositories Contributed To
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