Ahmed

Corpus Hub contributor since 2026-10-27

Ahmed'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

24files

1,090lines

★ 1GitHub stars on repo

Totals across every corpus @akwnnwastaken 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 UsageBar corpus

akwnnwastaken/UsageBar: Minimal native macOS and Windows usage tracker for Codex and Claude Code

Look up how UsageBar implements claude-code, codex, macos, with answers cited to file and line.
Reuse a worked example: the commit “add rolling weekly history and release 2.4.0” (24 files · C#, Swift).
Answer from UsageBar's real C# source instead of memory (AI, prompts and agents).

Example questions

Where does UsageBar handle “add rolling weekly history and release 2.4.0”?
How does UsageBar implement claude-code?
What does windows do in UsageBar?

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

Search the GitHub repository akwnnwastaken/UsageBar with XERJ (https://hub.xerj.org/corpus/akwnnwastaken--usagebar).
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/akwnnwastaken/UsageBar UsageBar && git -C UsageBar checkout fac3b438fc52ea06293189e51e0ac0037238ea8d
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./UsageBar --url http://127.0.0.1:9200 --prefix usagebar --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 akwnnwastaken--usagebar · AI, prompts and agents
Related corpora: mkcert, swift-book, chattymin/PokeTokenBar, Aforno/AgentNotch
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 1

akwnnwastaken/UsageBar

Minimal native macOS and Windows usage tracker for Codex and Claude Code

On GitHub: 257 commits · 321 files at the pinned commit · created 2026-07 · last push 2026-10-28

Languages: Swift 52%, C# 42%, PowerShell 4%

fac3b438fc feat: add rolling weekly history and release 2.4.0 (#112)

selected commit: 24 files · 1,090 lines · C#, Swift · windows, Sources, 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 akwnnwastaken--usagebarAIMITclaude-codecodexmacosmenu-barswift agreed 2026-10-27

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

Included with the author's permission (email, 2026-10-27), 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.