Ibrahim Al-Shawa
Ibrahim Al-Shawa'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 @alshawai 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 PBTune corpus
alshawai/PBTune: Evolutionary auto-tuning for database configurations: Population-Based Training discovers optimal configurations without ML training or…
- Look up how PBTune implements ai, pbt, python, with answers cited to file and line.
- Answer from PBTune's real source instead of memory (Databases and storage engines).
- How does PBTune implement ai?
Search the GitHub repository alshawai/PBTune with XERJ (https://hub.xerj.org/corpus/alshawai--pbtune). 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/alshawai/PBTune PBTune && git -C PBTune checkout 14f3e921e4ad3790d42443bfcb9d96a6f224449e 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./PBTune --url http://127.0.0.1:9200 --prefix pbtune --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 alshawai--pbtune · Databases and storage engines
Related corpora: ann-benchmarks, cloudnative-pg, farzanshibu/db-free, Lowaltitudeflight/local-llm-tuning-guide
Case study: reference coding for agents
Selected work
alshawai/PBTune
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
alshawai/Deep-Learning-Reference-Hub
A comprehensive collection of deep learning concepts, techniques, and best practices with mathematical foundations and practical implementations
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/alshawai)
Included with the author's permission (email, 2026-10-29), 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.