lekton

High-performance, dynamic Internal Developer Portal

A new way for AI to search for data

View on GitHub

2GitHub stars

Rust

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 51322776f0 (2026-10-21).

Selected work

Davide Ghilardi
@dghilardi

“add durable imports with negotiated long polling”. 16 files, 1,225 lines in tests, src/api, src/jobs.

Licence

The repository

AGPL-3.0

Checked by a person at the pinned commit.

The XERJ corpus

Approach only

The author agreed by email on 2026-10-22. Agents read it for how it works, not to copy it. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: approach only

Example questions

Where does lekton handle “add durable imports with negotiated long polling”?
What does src/api do in lekton?

The prompt

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

Search the GitHub repository dghilardi/lekton with XERJ (https://hub.xerj.org/corpus/dghilardi--lekton).
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/dghilardi/lekton lekton && git -C lekton checkout 51322776f01c2752318e32e2fec7245d8874b2b3
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./lekton --url http://127.0.0.1:9200 --prefix lekton --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: AGPL-3.0. Read it for the approach only, do not copy code.

Davide Ghilardi API design and specification corpora

Selected work and consent: the XERJ registry.