Ghassan Malke
Ghassan Malke'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 @gma1k 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 podtrace corpus
gma1k/podtrace: eBPF-driven APM and diagnostic tool for Kubernetes applications 🐝
- Look up how podtrace implements debugging, diagnostics, ebpf, with answers cited to file and line.
- Reuse a worked example: the commit “attach uprobes as uprobe_multi links to speed up agent shutdown…” (26 files · Go).
- Answer from podtrace's real Go source instead of memory (Operations and SRE).
- How does podtrace implement debugging?
- What does internal/ebpf do in podtrace?
Search the GitHub repository gma1k/podtrace with XERJ (https://hub.xerj.org/corpus/gma1k--podtrace). 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/gma1k/podtrace podtrace && git -C podtrace checkout 05f6af39d49401ee8d0b3455108f2213f7d0735b 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./podtrace --url http://127.0.0.1:9200 --prefix podtrace --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: Apache-2.0. Keep the copyright notice and credit the authors.
corpus gma1k--podtrace · Operations and SRE
Related corpora: coroot, xobotyi--cc-foundry-backend, SRodi/kubectl-datapath, rafiimam/agent-capture-bench
Operational intelligence with XERJ · Case study: reference coding for agents
Selected work
gma1k/podtrace
eBPF-driven APM and diagnostic tool for Kubernetes applications
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/gma1k)
Included with the author's permission (email, 2026-10-05), 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.