---
title: "Show HN: Shard – Stop watching one AI agent code for 45 min. Run four at once"
slug: "show-hn-shard-stop-watching-one-ai-agent-code-for-45-min-run-four-at-once"
date: 2026-03-16
category: community
tags: [anthropic, agents, open-source]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/show-hn-shard-stop-watching-one-ai-agent-code-for-45-min-run-four-at-once
---

# Show HN: Shard – Stop watching one AI agent code for 45 min. Run four at once

**Published**: 2026-03-16 | **Category**: community | **Sources**: 1

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## TL;DR

- Shard automatically decomposes a large coding prompt into a DAG of parallel sub-tasks.

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## Summary

- 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.
- Open source, cross-platform, works with Claude Code, Aider, and Cursor.

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## Why it matters

Shard automatically decomposes a large coding prompt into a DAG of parallel sub-tasks.

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## Key Points

- 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.
- Open source, cross-platform, works with Claude Code, Aider, and Cursor.

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## Nauti's Take

The approach is smarter than it looks at first glance: not just 'launch many agents', but model the dependencies first, then execute in parallel. That is the difference between a distributed system and a chaotic pile of threads. The open question is how well the automatic task decomposition handles truly complex, tightly coupled codebases – a DAG is only as good as its edges. Still, anyone working daily with long agent runs should keep a close eye on this project.

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## FAQ

**Q:** What is Show HN about?

**A:** - Shard automatically decomposes a large coding prompt into a DAG of parallel sub-tasks.

**Q:** Why does it matter?

**A:** Shard automatically decomposes a large coding prompt into a DAG of parallel sub-tasks.

**Q:** What are the key takeaways?

**A:** 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.

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## Related Topics

- [anthropic](https://news.ainauten.com/en/tag/anthropic)
- [agents](https://news.ainauten.com/en/tag/agents)
- [open-source](https://news.ainauten.com/en/tag/open-source)

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## Sources

- [Show HN: Shard – Stop watching one AI agent code for 45 min. Run four at once](https://github.com/nihalgunu/Shard) - Hacker News AI

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## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

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*Last Updated: 2026-03-20*