Sri Anjaneyam
Sri Anjaneyam'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 @mr-anjaneyam 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 JobTrace corpus
mr-anjaneyam/JobTrace: Self-hosted job tracker that watches company career pages, scores openings against your resume, and pings you on Telegram
- Look up how JobTrace implements ats-scoring, job-search, jobtracker, with answers cited to file and line.
- Reuse a worked example: the commit “onboarding API, background first scan, retention, gzip…” (26 files · Python, shell).
- Answer from JobTrace's real Python source instead of memory (API design and specification).
- How does JobTrace implement ats-scoring?
- What does backend do in JobTrace?
Search the GitHub repository mr-anjaneyam/JobTrace with XERJ (https://hub.xerj.org/corpus/mr-anjaneyam--jobtrace). 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/mr-anjaneyam/JobTrace JobTrace && git -C JobTrace checkout 749675711e1674578b2455029425f07173208448 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./JobTrace --url http://127.0.0.1:9200 --prefix jobtrace --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 mr-anjaneyam--jobtrace · API design and specification
Related corpora: kotaemon, vuln-fix-commits, ThePlator/JobRadar, Let-s-Code-India/Veda-AI
Search an OpenAPI spec from an agent · Case study: reference coding for agents
Selected work
mr-anjaneyam/JobTrace
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/mr-anjaneyam)
Included with the author's permission (email, 2026-10-22), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.