Maahin Vimlesh Panchal
Maahin Vimlesh Panchal'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 @MaahinVPanchal 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 grindresume corpus
MaahinVPanchal/grindresume: GrinderResume shows where you fit before you apply: Strong, Moderate or Stretch, with the gaps named. It never invents experience. A fit…
- Look up how grindresume implements copilot, deepseek-v3, llama-3-1-70b-instruct, with answers cited to file and line.
- Reuse a worked example: the commit “Complete SEO share tags, sitemap, 301 company redirects, OG images, a…” (13 files · TypeScript, JavaScript).
- Answer from grindresume's real TypeScript source instead of memory (API design and specification).
- How does grindresume implement copilot?
- What does public do in grindresume?
Search the GitHub repository MaahinVPanchal/grindresume with XERJ (https://hub.xerj.org/corpus/maahinvpanchal--grindresume). 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/MaahinVPanchal/grindresume grindresume && git -C grindresume checkout 95559369bd5fbe11cb2f733aad08076d47d310ce 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./grindresume --url http://127.0.0.1:9200 --prefix grindresume --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 maahinvpanchal--grindresume · API design and specification
Related corpora: vladar107/claudescope, dino-cosic/flagrm
Search an OpenAPI spec from an agent · Case study: reference coding for agents
Selected work
MaahinVPanchal/grindresume
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/MaahinVPanchal)
Included with the author's permission (email, 2026-10-24), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.