foundry

Foundry is a blazing fast, portable and modular toolkit for Ethereum application development written in Rust

A new way for AI to search for data
View on GitHub
10,693GitHub stars

Rust

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit c7d7599a99 (2026-10-08).

Selected work

awss
@awss1i

“match --proxy and immutables in storage”. 3 files, 503 lines in crates/cast, crates/common.

Licence

The repository

Apache-2.0

From GitHub's licence detection. A person still checks the LICENSE file at the pinned commit.

The XERJ corpus

Apache-2.0, with credit

The author agreed by email on 2026-10-12. 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

rustsolidityevmtestingfuzzingblockchainethereumtooling

Example questions

The prompt

Paste it into your AI agent. It clones foundry-rs/foundry at the pinned commit and indexes it on your machine.

Search the GitHub repository foundry-rs/foundry with XERJ (https://hub.xerj.org/corpus/foundry-rs--foundry).
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/foundry-rs/foundry foundry && git -C foundry checkout c7d7599a99710c833b303ff6fba7890c5eb1c866
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./foundry --url http://127.0.0.1:9200 --prefix foundry --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: Apache-2.0. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.