Tanish Ganesh Bane

Corpus Hub contributor since 2026-10-25

Tanish Ganesh Bane'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.

2corpora

1selected commit

14files

1,879lines

★ 2GitHub stars on repos

Totals across every corpus @TanishBane 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 Nexfield corpus

TanishBane/Nexfield: AI-powered agricultural intelligence platform combining crop disease analysis, digital twin simulations, smart farming, food quality…

Look up how Nexfield implements agricultural-analytics, agritech, artificial-intelligence, with answers cited to file and line.
Reuse a worked example: the commit “complete Supabase authentication, Google OAuth, 2-column …” (14 files · TypeScript, JavaScript).
Answer from Nexfield's real TypeScript source instead of memory (AI, prompts and agents).

Example questions

How does Nexfield implement agricultural-analytics?
What does apps/web do in Nexfield?

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

Search the GitHub repository TanishBane/Nexfield with XERJ (https://hub.xerj.org/corpus/tanishbane--nexfield).
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/TanishBane/Nexfield Nexfield && git -C Nexfield checkout e735cdca67fa040173a6731a6542780b5e3be949
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./Nexfield --url http://127.0.0.1:9200 --prefix nexfield --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 tanishbane--nexfield · AI, prompts and agents
Related corpora: oss-attribution-builder, autorag, vahapogut/AI-fire-detection, aawhan0/ModelDock
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 1

TanishBane/Nexfield

e735cdca67 feat(auth): complete Supabase authentication, Google OAuth, 2-column …

selected commit: 14 files · 1,879 lines · TypeScript, JavaScript · apps/web, tests

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

live on the hub · licence clearedcorpus tanishbane--nexfieldAIMITagricultural-analyticsagritechartificial-intelligencecomputer-visiondigital-twinfastapi agreed 2026-10-25

GitHub ★ 1

TanishBane/wastewise-ai

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

live on the hub · licence clearedcorpus tanishbane--wastewise-aiAIMITdemand-forecastingfastapifood-wastefoodtechmachine-learningoperations-research agreed 2026-10-29

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

Included with the author's permission (email, 2026-10-25), under each repository's own licence, with attribution. Own more repositories? Sign in with GitHub and add them. Want something removed? Reply to the email, withdraw it on /add, or open an issue on xerj-org/xerj.