Ihor Zaviriukha

Corpus Hub contributor since 2026-10-20

Ihor Zaviriukha'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

4files

185lines

★ 3GitHub stars on repo

Totals across every corpus @zavvdev 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 elise-lang corpus

zavvdev/elise-lang: A schema-driven data transformation language that compiles type-optimized bytecode from pipeline expressions over structured data. Write…

Look up how elise-lang implements lexer, parser, programming-language, with answers cited to file and line.
Reuse a worked example: the commit “added semantic analysis for dicts” (4 files · Rust).
Answer from elise-lang's real Rust source instead of memory (API design and specification).

Example questions

Where does elise-lang handle “added semantic analysis for dicts”?
How does elise-lang implement lexer?
What does frontend do in elise-lang?

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

Search the GitHub repository zavvdev/elise-lang with XERJ (https://hub.xerj.org/corpus/zavvdev--elise-lang).
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/zavvdev/elise-lang elise-lang && git -C elise-lang checkout 9de5625c200bf440f34d5a8f893f1ed521af1278
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./elise-lang --url http://127.0.0.1:9200 --prefix elise-lang --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 zavvdev--elise-lang · API design and specification
Related corpora: httparse, lightningcss, lom-lang/lom, PySudo/QuantoScript
Search an OpenAPI spec from an agent · Case study: reference coding for agents

Selected work

GitHub ★ 3

zavvdev/elise-lang

9de5625c20 added semantic analysis for dicts

selected commit: 4 files · 185 lines · Rust · frontend, ir, shared

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

selected · in licence reviewcorpus zavvdev--elise-langAPIMITlexerparserprogramming-languagerustinterpreterlanguage agreed 2026-10-20

Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.

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

Included with the author's permission (email, 2026-10-20), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.