Tom Whitbread
Tom Whitbread'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.
Totals across every corpus @tomtom87 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 Portage corpus
tomtom87/Portage: Let your agent go to the store (chill, you approve every payment 😃). CLI, Claude Code plugin and Ruby gems for MCP/UCP
- Look up how Portage implements bigcommerce, cli-tool, ecommerce, with answers cited to file and line.
- Reuse a worked example: the commit “Give generated MCP tools real descriptions, param docs and annotations” (5 files · Ruby).
- Answer from Portage's real Ruby source instead of memory (AI, prompts and agents).
- Where does Portage handle “Give generated MCP tools real descriptions, param docs and annotations”?
- How does Portage implement bigcommerce?
- What does portage-ucp do in Portage?
Search the GitHub repository tomtom87/Portage with XERJ (https://hub.xerj.org/corpus/tomtom87--portage). 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/tomtom87/Portage Portage && git -C Portage checkout e5060ec1cf00d0ae11238dcc4bee165428e6084e 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./Portage --url http://127.0.0.1:9200 --prefix portage --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: MIT. Keep the copyright notice and credit the authors.
corpus tomtom87--portage · AI, prompts and agents
Related corpora: fluentd, licensee, tomtom87/homebrew-portage, wbasmayor/ai-lite
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
tomtom87/Portage
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
tomtom87/blog
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
tomtom87/homebrew-portage
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
tomtom87/latest
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
Sign in with GitHub or Hugging Face to see more: every selected commit in full (commit date, every folder, licence review state, pin) and the pack builds of each corpus.
[](https://hub.xerj.org/contributors/tomtom87)
Included with the author's permission (email, 2026-10-26), 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.