Rcwalter

Corpus Hub contributor since 2026-10-15

Rcwalter's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.

1corpus

1selected commit

9files

302lines

★ 8GitHub stars on repo

Totals across every corpus @rcwalter24 appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.

What an agent can do with the ashlar corpus

rcwalter24/ashlar: Ashlar - let AI assistants (Claude, ChatGPT, Cursor...) survey, render, build and inspect a live Minecraft Paper server through MCP

Look up how ashlar implements ai, ai-agents, bukkit, with answers cited to file and line.
Reuse a worked example: the commit “mc_inspect format "columns" (exact per-column runs); repair guidance:…” (9 files · Java, JavaScript).
Answer from ashlar's real Java source instead of memory (AI, prompts and agents).

Example questions

How does ashlar implement ai?
What does plugin do in ashlar?

Paste it into your AI agent. It clones the repo at the pinned commit and indexes it on your machine.

Search the GitHub repository rcwalter24/ashlar with XERJ (https://hub.xerj.org/corpus/rcwalter24--ashlar).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/rcwalter24/ashlar ashlar && git -C ashlar checkout 9f21a071ecc3493c924387aea721f7d827e38aa9
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./ashlar --url http://127.0.0.1:9200 --prefix ashlar --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: AGPL-3.0. Read it for the approach only, do not copy code.

corpus rcwalter24--ashlar · AI, prompts and agents
Related corpora: keywhiz, fory, xiaLingLuo/LingYggdrasil-CE, Trixmas/BlightedMC
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 8

rcwalter24/ashlar

Ashlar - let AI assistants (Claude, ChatGPT, Cursor...) survey, render, build and inspect a live Minecraft Paper server through MCP

On GitHub: 84 commits · 1 forks · created 2026-09 · last push 2026-09-22

Languages: Java 89%, JavaScript 8%, TypeScript 4%

9f21a071ec mc_inspect format "columns" (exact per-column runs); repair guidance:…

selected commit: 9 files · 302 lines · Java, JavaScript · plugin, mcp-server

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

live on the hub · licence clearedcorpus rcwalter24--ashlarAIAGPL-3.0aiai-agentsbukkitclaudejavallm agreed 2026-10-15

[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/rcwalter24/badge.svg)](https://hub.xerj.org/contributors/rcwalter24)

Included with the author's permission (email, 2026-10-15), under each repository's own licence, with attribution. Own more repositories? Sign in with GitHub and add them. Want something removed? Reply to the email, withdraw it on /add, or open an issue on xerj-org/xerj.