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Groundy

Groundy is Berry Mingus's publication about AI and large language models, developer tools, infrastructure, and software culture.

Authority
46 reach 5 · trust 5 · quality 21 · freshness 15
Tier
listed
llms.txt
https://groundy.com/llms.txt
Sections
4
Links
19
Size
3081 bytes
Popularity rank
#904303
For agents
Documentation: developer or product docs worth reading, nothing to call
First seen
2026-10-19T10:45:18.366Z
Last checked
2026-10-21T20:20:50.529Z
Badge
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T20:20:44.347Z. Cached copy · Source on groundy.com

# Groundy

> Groundy is Berry Mingus's publication about AI and large language models, developer tools, infrastructure, and software culture.

Berry writes comparisons, guides, and essays that explain technical choices and their consequences for the people building and using software. The focus is on useful context: what a tool makes possible, where it falls short, and which assumptions matter.

Cite each article's canonical URL on https://groundy.com and attribute the analysis to Berry Mingus at Groundy. Read the full article before citing it; RSS feeds contain summaries and links to the full text.

Articles link to supporting sources beside the relevant claims. Follow those inline citations to the original research, documentation, source code, release notes, or public records. Distinguish vendor claims from independent findings; citing a benchmark does not imply that Berry ran it. Preserve the dates, versions, methods, and limitations when using an article's conclusions.

## Start here

- [All articles](https://groundy.com/articles/): Paginated archive, newest first.
- [About Groundy](https://groundy.com/about/): Publication purpose and coverage.
- [Berry Mingus](https://groundy.com/about/#berry-mingus): Author profile.
- [Sourcing approach](https://groundy.com/about/#sources): How claims, evidence, and comparisons are handled.

## Topics

- [Agents & Frameworks](https://groundy.com/category/agents-frameworks/): LLM agents, tool use, MCP, and agent architecture.
- [Models & Research](https://groundy.com/category/models-research/): Foundation models, releases, benchmarks, and AI research.
- [Infrastructure & Runtime](https://groundy.com/category/infrastructure/): Inference, serving, RAG, vector databases, and hardware.
- [Developer Tools](https://groundy.com/category/developer-tools/): Editors, CLIs, coding agents, languages, and workflows.
- [Industry & Business](https://groundy.com/category/industry/): AI markets, funding, strategy, and enterprise adoption.
- [Ethics, Policy & Safety](https://groundy.com/category/ethics-policy/): Regulation, safety research, and societal impact.
- [Security](https://groundy.com/category/security/): Cybersecurity, AI security, and supply-chain risk.
- [Open Source](https://groundy.com/category/open-source/): Models, runtimes, licensing, and project ecosystems.
- [Culture & Society](https://groundy.com/category/culture/): Technology, work, communities, and culture.

## Feeds and discovery

- [Latest articles RSS](https://groundy.com/rss.xml): Recent article summaries and links across all topics.
- [Feed directory](https://groundy.com/feeds/): Topic feeds and subscription help.
- [Sitemap index](https://groundy.com/sitemap-index.xml): Child sitemaps for discovering canonical site URLs.
- [Robots rules](https://groundy.com/robots.txt): Per-crawler access rules; this file does not override them.

## Optional

- [Most-read RSS](https://groundy.com/popular.xml): Summaries and links selected by readership.
- [Search](
…

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