Haris Farooq
Haris Farooq'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.
Totals across every corpus @Haarris 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 cachecanary corpus
Haarris/cachecanary: Know the moment your Claude prompt cache breaks on Amazon Bedrock, not when the bill arrives
- Look up how cachecanary implements amazon-bedrock, anthropic, claude, with answers cited to file and line.
- Reuse a worked example: the commit “Add a LangChain guide: what it sends to Bedrock and where the cache i…” (5 files · Python).
- Answer from cachecanary's real Python source instead of memory (AI, prompts and agents).
- How does cachecanary implement amazon-bedrock?
- What does scripts do in cachecanary?
Search the GitHub repository Haarris/cachecanary with XERJ (https://hub.xerj.org/corpus/haarris--cachecanary). 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/Haarris/cachecanary cachecanary && git -C cachecanary checkout ebbca3f2374a5c7c7257c7cb77d81ed9661d03d6 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./cachecanary --url http://127.0.0.1:9200 --prefix cachecanary --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: Apache-2.0. Keep the copyright notice and credit the authors.
corpus haarris--cachecanary · AI, prompts and agents
Related corpora: griptape, aider, woojubb/robota, privateer-agent/privateer-agent
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
Haarris/cachecanary
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
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.
Sign in with GitHub or Hugging Face to see more: every selected commit in full (commit date, every folder, licence review state, pin) and the pack builds of each corpus.
[](https://hub.xerj.org/contributors/Haarris)
Included with the author's permission (email, 2026-10-21), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.