Chintha Vamsha vardhan
Chintha Vamsha vardhan'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 @Vamshavardhan50 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 crawlingo corpus
Vamshavardhan50/crawlingo: Generate validated datasets from web pages with a Rust engine, Python and Node.js SDKs, exact deduplication, and resumable JSONL/CSV…
- Look up how crawlingo implements nodejs, csv, data-extraction, with answers cited to file and line.
- Reuse a worked example: the commit “validate research datasets against a public directory” (10 files · Python, Rust).
- Answer from crawlingo's real Python source instead of memory (Web and frontend platform).
- Where does crawlingo handle “validate research datasets against a public directory”?
- How does crawlingo implement nodejs?
- What does measurements do in crawlingo?
Search the GitHub repository Vamshavardhan50/crawlingo with XERJ (https://hub.xerj.org/corpus/vamshavardhan50--crawlingo). 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/Vamshavardhan50/crawlingo crawlingo && git -C crawlingo checkout b258d6236c2deacd6ed5f8ed463000548e7e9358 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./crawlingo --url http://127.0.0.1:9200 --prefix crawlingo --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 vamshavardhan50--crawlingo · Web and frontend platform
Related corpora: chroma, delta-rs, emiliano-go/rypipe, NagareWorks/metricraft
Case study: reference coding for agents
Selected work
Vamshavardhan50/crawlingo
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
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.
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/Vamshavardhan50)
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.