Show HN: Shard – Stop watching one AI agent code for 45 min. Run four at once
TL;DR
Shard automatically decomposes a large coding prompt into a DAG of parallel sub-tasks. Each sub-task receives exclusive file ownership, eliminating merge conflicts by design. Multiple agents run simultaneously in separate git worktrees and are merged in topological order. Test failures are self-healed automatically. A 45-minute serial task shrinks to ~12 minutes with 4 parallel agents.
Nauti's Take
Coming soon — Nauti's Take is being prepared.
Briefingshow
The real bottleneck in AI-assisted coding is not model quality but serial wait time – you start a task and are blocked for an hour. Shard addresses this with a structured parallelization approach rather than naive multi-agent chaos. The DAG model with exclusive file ownership solves the core problem of coordinated parallel code changes in a technically clean way.
If the promise holds, it shifts the productivity curve for developers significantly – not through better models, but through better orchestration.
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