Fatih Nayebi

Corpus Hub contributor since 2026-10-22

Fatih Nayebi'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

110files

7,018lines

★ 26GitHub stars on repo

Totals across every corpus @conqueror 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 agentic-retail-foundations corpus

gradient-divergence/agentic-retail-foundations: Companion code for Foundations of Agentic AI for Retail, Third Edition (2026): agent architectures, decision frameworks, multi-agent…

Look up how agentic-retail-foundations implements agentic-ai, llm, retail, with answers cited to file and line.
Reuse a worked example: the commit “Third edition as published: companion code as printed, security updates” (110 files · Python).
Answer from agentic-retail-foundations's real Python source instead of memory (AI, prompts and agents).

Example questions

How does agentic-retail-foundations implement agentic-ai?
What does demos do in agentic-retail-foundations?

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

Search the GitHub repository gradient-divergence/agentic-retail-foundations with XERJ (https://hub.xerj.org/corpus/gradient-divergence--agentic-retail-foundations).
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/gradient-divergence/agentic-retail-foundations agentic-retail-foundations && git -C agentic-retail-foundations checkout 0cd639d7448dfeb583657f31ef66580389cdb143
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./agentic-retail-foundations --url http://127.0.0.1:9200 --prefix agentic-retail-foundatio --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 gradient-divergence--agentic-retail-foundations · AI, prompts and agents
Related corpora: agentops, agentbench, crusoecloud/crusoe-developer-hub, pranavkumaarofficial/nlcli-wizard
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 26

gradient-divergence/agentic-retail-foundations

0cd639d744 Third edition as published: companion code as printed, security updates

selected commit: 110 files · 7,018 lines · Python · demos, tests, agents

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

selected · in licence reviewcorpus gradient-divergence--agentic-retail-foundationsAIMITagentic-aillmretailrlrlhfagents agreed 2026-10-22

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/conqueror/badge.svg)](https://hub.xerj.org/contributors/conqueror)

Included with the author's permission (email, 2026-10-22), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.