Harsh Nagouda

Corpus Hub contributor since 2026-10-23

Harsh Nagouda'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

28files

2,011lines

★ 5GitHub stars on repo

Totals across every corpus @HNagouda 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 autopost corpus

HNagouda/autopost: White borders for Instagram, done properly, on your Mac. Batch-pad photos to 4:5, 3:4 or any ratio, add text, preview on a phone, export…

Look up how autopost implements film-photography, instagram, lightroom, with answers cited to file and line.
Reuse a worked example: the commit “Add undo, cropping, keyboard moves and navigation, the embedded phone…” (28 files · Swift).
Answer from autopost's real Swift source instead of memory (Web and frontend platform).

Example questions

How does autopost implement film-photography?
What does Sources do in autopost?

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

Search the GitHub repository HNagouda/autopost with XERJ (https://hub.xerj.org/corpus/hnagouda--autopost).
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/HNagouda/autopost autopost && git -C autopost checkout 42a61897ab42cbe62eccdcdbfb5da65238374bde
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./autopost --url http://127.0.0.1:9200 --prefix autopost --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: GPL-3.0. Read it for the approach only, do not copy code.

corpus hnagouda--autopost · Web and frontend platform
Related corpora: mkcert, oss-license-texts, tr0drigues/TactileBar, DreamOfXM/diskwise
Case study: reference coding for agents

Selected work

GitHub ★ 5

HNagouda/autopost

42a61897ab Add undo, cropping, keyboard moves and navigation, the embedded phone…

selected commit: 28 files · 2,011 lines · Swift · Sources

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

selected · in licence reviewcorpus hnagouda--autopostWEBGPL-3.0film-photographyinstagramlightroommac-appmacosopen-source agreed 2026-10-23

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/HNagouda/badge.svg)](https://hub.xerj.org/contributors/HNagouda)

Included with the author's permission (email, 2026-10-23), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.