moviemonk-ai
AI-powered movie and TV discovery experience that helps users go from curiosity to confident watch decisions fast
What XERJ indexed
Selected work
“add 3-tier homepage discovery caching with SWR and Redis…”. 4 files, 308 lines in hooks, __tests__, server.
Licence
The repository
Checked by a person at the pinned commit.
The XERJ corpus
The author agreed by email on 2026-10-24. Same terms as the repository. Answers name the repo, the commit and the file:line.
in licence reviewnot in the hub yetsuggested use: adapt with attribution
reacttmdb-apitypescriptvitegroq-apimistral-apinpm-moduleredis-cache
Example questions
- How does moviemonk-ai implement react?
- What does hooks do in moviemonk-ai?
- Show the tmdb-api code in moviemonk-ai.
The prompt
Paste it into your AI agent. It clones mfscpayload-690/moviemonk-ai at the pinned commit and indexes it on your machine.
Search the GitHub repository mfscpayload-690/moviemonk-ai with XERJ (https://hub.xerj.org/corpus/mfscpayload-690--moviemonk-ai). 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/mfscpayload-690/moviemonk-ai moviemonk-ai && git -C moviemonk-ai checkout 039f593861e36a86f36914b9a10337485575dce3 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./moviemonk-ai --url http://127.0.0.1:9200 --prefix moviemonk-ai --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.
Related
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Selected work and consent: the XERJ registry.