bigint-decimal
Generalsimus/bigint-decimal (TypeScript)
A new way for AI to search for data
1GitHub stars
What XERJ indexed
Selected work
“Math functions, faster parsing and arbitrary-precision algorithms”. 8 files, 2,782 lines in test, the project root.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-19. Same terms as the repository. Answers name the repo, the commit and the file:line.
in licence reviewnot in the hub yetsuggested use: adapt with attribution
Example questions
- Where does bigint-decimal handle “Math functions, faster parsing and arbitrary-precision algorithms”?
The prompt
Paste it into your AI agent. It clones Generalsimus/bigint-decimal at the pinned commit and indexes it on your machine.
Search the GitHub repository Generalsimus/bigint-decimal with XERJ (https://hub.xerj.org/corpus/generalsimus--bigint-decimal). 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/Generalsimus/bigint-decimal bigint-decimal && git -C bigint-decimal checkout f05c583f4c603de392d480f6c9d29fe6633b83a0 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./bigint-decimal --url http://127.0.0.1:9200 --prefix bigint-decimal --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.
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Selected work and consent: the XERJ registry.