context-rot-lab
An interactive playground exploring how large, noisy AI context degrades output quality, plus tools to shrink context before sending it to an AI assistant
What XERJ indexed
Snapshot
The whole repository at commit 0159b4a3a6. It is the newest commit on master.
Selected work

Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-29. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
aideveloper-toolsgithub-pagesincremental-gamejavascriptreactviteweb-workers
Example questions
- How does context-rot-lab implement ai?
- Show the developer-tools code in context-rot-lab.
The prompt
Paste it into your AI agent. It clones fazal305/context-rot-lab at the pinned commit and indexes it on your machine.
Search the GitHub repository fazal305/context-rot-lab with XERJ (https://hub.xerj.org/corpus/fazal305--context-rot-lab). 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/fazal305/context-rot-lab context-rot-lab && git -C context-rot-lab checkout 0159b4a3a67db3e3e02d1bea80bc92394813a032 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./context-rot-lab --url http://127.0.0.1:9200 --prefix context-rot-lab --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
Fazal AbbasAI, prompts and agents corporaesbuildcarbonagnofazal305/config-file-managerfazal305/devspacefazal305/devflow
Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.