Tick
Deterministic task tracking for AI-assisted coding
Tick launched on February 21, 2026 with 3 votes, #3,486 of 16,627 launches that month and more than 50% of that year's launches.
What it does
Tick is a lightweight task management CLI designed for AI coding agents. It prioritises determinism, simplicity, and zero-friction git integration. A fast Go CLI that tracks coding tasks in a machine-readable way so AI agents can reliably understand progress. Tasks are stored as a simple JSONL ledger and exposed / readable via a SQLite cache store. Outputs pretty in the terminal for humans, and TOON for AIs.
Tick is a lightweight task management Go CLI designed for AI coding agents. It prioritises determinism, simplicity, and zero-friction git integration. - leeovery/tick
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Harness by Autonomous8d ago · autonomous.ai · ▲295Every coding agent, every machine, one command center.
I replaced Beads with a faster, simpler Markdown-based task trackerJan 2026 · github.com · ▲84I've been running long duration coding agents with Claude Code for about 6 months now. Steve Yegge released Beads back in October and I found that giving Claude tools for proper task tracking was a massive unlock. But Beads grew massively in a short time and every release made it slower and more frustrating to use. I started battling it several times a week as its background daemon took to syncing the wrong things at the wrong times. Over the holidays I finally ripped it out and wrote ticket as a replacement. It keeps the core concept I actually cared about (graph-based task dependencies)…


Weave2025 · app.workweave.ai · ▲237Hey HN, We’re building Weave: an ML-powered tool to measure engineering output, that actually understands engineering output! Why? Here’s the thing: almost every eng leader already measures output - either openly or behind closed doors. But they rely on metrics like lines of code (correlation with effort: ~0.3), number of PRs, or story points (slightly better at ~0.35). These metrics are, frankly, terrible proxies for productivity. We’ve developed a custom model that analyzes code and its impact directly, with a far better 0.94 correlation. The result? A standardized engineering output…

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