---
title: "Show HN: Remarc – provide more contextual and structured feedback to AI agents"
slug: "remarc-gibt-ai-agents-strukturiertes-feedback"
date: 2026-08-16
category: community
tags: [agents]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/remarc-gibt-ai-agents-strukturiertes-feedback
---

# Show HN: Remarc – provide more contextual and structured feedback to AI agents

**Published**: 2026-08-16 | **Category**: community | **Sources**: 1

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## TL;DR

Remarc grew out of a side project problem: there was no good way to give AI coding agents contextual feedback on their own output.

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## Summary

Remarc grew out of a side project problem: there was no good way to give AI coding agents contextual feedback on their own output. Plenty of tools exist for collaborating with humans, far fewer for collaborating with AI, and chat breaks down when you need to point at a specific line, a button in a screenshot, or one sentence in a paragraph. The developer describes the last ten percent of feedback and polish as the real bottleneck. Remarc lets you select text and annotate it directly instead of dictating messy prose.

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## Why it matters

Remarc grew out of a side project problem: there was no good way to give AI coding agents contextual feedback on their own output.

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## Key Points

- Remarc grew out of a side project problem: there was no good way to give AI coding agents contextual feedback on their own output.
- Plenty of tools exist for collaborating with humans, far fewer for collaborating with AI, and chat breaks down when you need to point at a specific line, a button in a screenshot, or one sentence in a paragraph.
- The developer describes the last ten percent of feedback and polish as the real bottleneck.
- Remarc lets you select text and annotate it directly instead of dictating messy prose.

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## Nauti's Take

The approach is promising because feedback to AI agents really is the bottleneck: selecting and annotating beats dictating paragraphs when polishing the final ten percent. The catch is another layer sitting on top of your Mac, and the open question whether the value holds once editors and IDEs ship the same thing natively. Worth a test for solo builders and small teams, less urgent for larger setups.

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## FAQ

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

**A:** Remarc grew out of a side project problem: there was no good way to give AI coding agents contextual feedback on their own output.

**Q:** Why does it matter?

**A:** Remarc grew out of a side project problem: there was no good way to give AI coding agents contextual feedback on their own output.

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

**A:** Remarc grew out of a side project problem: there was no good way to give AI coding agents contextual feedback on their own output.. Plenty of tools exist for collaborating with humans, far fewer for collaborating with AI, and chat breaks down when you need to point at a specific line, a button in a screenshot, or one sentence in a paragraph.. The developer describes the last ten percent of feedback and polish as the real bottleneck.

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## Related Topics

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

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## Sources

- [Show HN: Remarc – provide more contextual and structured feedback to AI agents](https://github.com/metedata/Remarc) - 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: 2026-08-17*