Product updates, engineering notes, and thoughts on building tools for AI agent workflows.
Most project management GUIs assume you want to click. Beadbox assumes you live in a terminal and gives you vim-style navigation, instant workspace switching, and a read-optimized interface that keeps your hands on the keyboard.
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When five autonomous coding agents work one repo, dependency chains become invisible bottlenecks. Here's how to see them before everything stalls.
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Epics become opaque the moment they grow past five children. Here's how Beadbox turns a dozen bd show commands into a single expandable tree with progress bars, status badges, and real-time updates.
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Jira, Linear, and GitHub Issues were built for humans doing standups. Agentic engineering workflows need something fundamentally different.
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Not a demo. Not a benchmark. This is how I ship software every day with 13 specialized Claude Code agents working on one codebase.
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You spun up six Claude Code agents in tmux. They're all typing. You have no idea what any of them are doing. Here's how to fix that with structured issue tracking and a real-time visual dashboard.
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When 10 AI agents work in parallel, dependency deadlocks are silent. No agent raises its hand. Here's how to detect blocked tasks automatically, triage them with CLI-first workflows, and keep your agentic fleet moving.
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Real benchmarks on a 10K-issue dataset, Git-native storage with Dolt, and an honest look at the tradeoffs. A technical comparison for developers who find opinionated workflows restrictive.
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Introducing the Beadbox blog. Follow along as we build the visual dashboard for agent workflows.
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You can run 10 AI agents in parallel. You just can't see what any of them are doing. That's the problem we're solving.
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