Jamil Hammoudeh
Jamil Hammoudeh'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 @jamilhammoudeh 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 vbar corpus
jamilhammoudeh/vbar: Headless benchmark for spacecraft rendezvous and proximity-operations controllers (classical, RL and LLM) with validated orbital dynamics
- Look up how vbar implements astrodynamics, benchmark, guidance-navigation-control, with answers cited to file and line.
- Reuse a worked example: the commit “added the scenario catalogue: specs, seeds, suites, target modes, fiv…” (20 files · Python).
- Answer from vbar's real Python source instead of memory (AI, prompts and agents).
- How does vbar implement astrodynamics?
- What does src/vbar do in vbar?
Search the GitHub repository jamilhammoudeh/vbar with XERJ (https://hub.xerj.org/corpus/jamilhammoudeh--vbar). 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/jamilhammoudeh/vbar vbar && git -C vbar checkout 3905594a40d27835d71e9e127af64d8139fa139b 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./vbar --url http://127.0.0.1:9200 --prefix vbar --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 jamilhammoudeh--vbar · AI, prompts and agents
Related corpora: inspect-ai, plan-and-act, sacktock/MASA-Safe-RL, Sean-ZhiXin-Li/spacecraft-ai-controller
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
jamilhammoudeh/vbar
Headless benchmark for spacecraft rendezvous and proximity-operations controllers (classical, RL and LLM) with validated orbital dynamics
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
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/jamilhammoudeh)
Included with the author's permission (email, 2026-10-24), 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.