Aebibtech

Corpus Hub contributor since 2026-10-20

Aebibtech'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.

1corpus

1selected commit

14files

833lines

★ 1GitHub stars on repo

Totals across every corpus @aebibtech 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 fastingest corpus

aebibtech/fastingest: FastIngest is a high-throughput, constant-memory bulk ingestion pipeline for .NET (CSV, XLSX, and NDJSON/JSONL to PostgreSQL, SQL Server…

Look up how fastingest implements bulk-operation, csv-import, data-ingestion, with answers cited to file and line.
Reuse a worked example: the commit “add ASP.NET Core integration with SignalR and background proces…” (14 files · C#).
Answer from fastingest's real C# source instead of memory (Databases and storage engines).

Example questions

How does fastingest implement bulk-operation?
What does src/FastIngest.AspNetCore do in fastingest?

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

Search the GitHub repository aebibtech/fastingest with XERJ (https://hub.xerj.org/corpus/aebibtech--fastingest).
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/aebibtech/fastingest fastingest && git -C fastingest checkout 2caea0a88b424664657dee2d3d728d498bc988e6
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./fastingest --url http://127.0.0.1:9200 --prefix fastingest --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 aebibtech--fastingest · Databases and storage engines
Related corpora: adrianiftode/Assertions.Web, EhsanShahbazii/Shahbaz-Viewer
Case study: reference coding for agents

Selected work

GitHub ★ 1

aebibtech/fastingest

2caea0a88b feat: add ASP.NET Core integration with SignalR and background proces…

selected commit: 14 files · 833 lines · C# · src/FastIngest.AspNetCore, tests, samples

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

selected · in licence reviewcorpus aebibtech--fastingestDBMITbulk-operationcsv-importdata-ingestionexcel-importjson-importjson-importer agreed 2026-10-20

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.

[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/aebibtech/badge.svg)](https://hub.xerj.org/contributors/aebibtech)

Included with the author's permission (email, 2026-10-20), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.