Anton M

Corpus Hub contributor since 2026-10-23

Anton M'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

48files

1,700lines

★ 1GitHub stars on repo

Totals across every corpus @bxct 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 tipatask corpus

Tipatask/tipatask: The Project Operating Layer for AI Coding Agents

Look up how tipatask implements ai-agent-tools, ai-agents, claude, with answers cited to file and line.
Reuse a worked example: the commit “TPT567: Surface agent-detection diagnostics; add probe:agent-detect” (48 files · JavaScript).
Answer from tipatask's real JavaScript source instead of memory (AI, prompts and agents).

Example questions

Where does tipatask handle “TPT567: Surface agent-detection diagnostics; add probe:agent-detect”?
How does tipatask implement ai-agent-tools?
What does src/client do in tipatask?

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

Search the GitHub repository Tipatask/tipatask with XERJ (https://hub.xerj.org/corpus/tipatask--tipatask).
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/Tipatask/tipatask tipatask && git -C tipatask checkout f57818721e75cd1535e85d862f6156fd00153d3f
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./tipatask --url http://127.0.0.1:9200 --prefix tipatask --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 tipatask--tipatask · AI, prompts and agents
Related corpora: agno, xerj-blogposts, Alekla0126/alchemist-coder, dagoSte/squadra
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 1

Tipatask/tipatask

f57818721e TPT567: Surface agent-detection diagnostics; add probe:agent-detect

selected commit: 48 files · 1,700 lines · JavaScript · src/client, src/server, scripts

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

selected · in licence reviewcorpus tipatask--tipataskAIApache-2.0ai-agent-toolsai-agentsclaudeclaude-codeclaude-skillscodex agreed 2026-10-23

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

Included with the author's permission (email, 2026-10-23), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.