alshawai /

PBTune

Evolutionary auto-tuning for database configurations: Population-Based Training discovers optimal configurations without ML training or…

A new way for AI to search for data
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13GitHub stars

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 14f3e921e4.

Selected work

Ibrahim Al-Shawa
@alshawai

Licence

The repository

GPL-3.0

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

Approach only

The owner added it on hub.xerj.org after signing in with GitHub, on 2026-11-02. Agents read it for how it works, not to copy it. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: approach only

aipbtpythonevolutionary-algorithmhyperparameter-optimisationpostgresauto-tuningbenchmarking

Example questions

The prompt

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

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.

Related

Ibrahim Al-ShawaDatabases and storage engines corporacloudnative-pgann-benchmarksfortioShivb237/cache-rag-gatewayhexanomicon/lychdishay60/mcpolyglot

Selected work and consent: the XERJ registry.