eSlider
57e48e0b55
Problem statement, on-board architecture, Parquet/DuckDB storage design, swarm sync strategy, zero-trust networking, environments, observability, CI/CD delivery with fleet release manifests, roadmap and open questions.
1.4 KiB
1.4 KiB
AGENTS.md
Rules for anyone (human or tooling) contributing to this repository.
Hard rules
- English only. All documentation, code, comments, commit messages, and file names are written in English.
- No identifying references. Never mention names of people, companies, organizations, or locations anywhere in this repository — not in docs, code, comments, or git history. This is a generic, self-contained design proposal for an on-prem data platform for autonomous drone swarms.
- Clean git history. Commit messages must never reference AI assistants, code generation tools, or editors. No
Co-authored-bytrailers pointing to tools, no "Generated with ..." lines. Conventional commit format (feat:,fix:,docs:,refactor:). - Push target. The only remote is
origin→git.produktor.io. Never mirror this repository anywhere else.
Project layout
docs/ Design documentation (Markdown + Mermaid)
simulator/ Virtual drone fleet — Python data generator (Parquet/DuckDB pipeline)
prototype/ 2D swarm visualization — React + TypeScript (Vite)
Conventions
- Markdown: ATX headings, fenced code blocks with language tags, pipe tables.
- Python: PEP 8, type hints, pure functions where possible, no unnecessary classes.
- TypeScript: strict mode, functional components and hooks, no extra UI libraries.
- YAML: 2-space indent.
- Diagrams: Mermaid inside Markdown.