David Hamilton
David Hamilton'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 @daveh-beep 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 chalkline corpus
block/chalkline: Snap a line before your agents build
- Look up how chalkline implements agents, agents-md, ai-agents, with answers cited to file and line.
- Reuse a worked example: the commit “Clarify sharing readiness and bound local corpus ingestion” (5 files · Python).
- Answer from chalkline's real Python source instead of memory (AI, prompts and agents).
- Where does chalkline handle “Clarify sharing readiness and bound local corpus ingestion”?
- How does chalkline implement agents?
- What does tests do in chalkline?
Search the GitHub repository block/chalkline with XERJ (https://hub.xerj.org/corpus/block--chalkline). 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/block/chalkline chalkline && git -C chalkline checkout 45a4735213a28267a008aa10bb8cddfb624e5d06 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./chalkline --url http://127.0.0.1:9200 --prefix chalkline --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 block--chalkline · AI, prompts and agents
Related corpora: agentscope, agno, kushalBanda/AI-Engineer, devcell-sh/devcell
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
block/chalkline
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/daveh-beep)
Included with the author's permission (email, 2026-10-19), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.