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.
27 lines
1.4 KiB
Markdown
27 lines
1.4 KiB
Markdown
# AGENTS.md
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Rules for anyone (human or tooling) contributing to this repository.
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## Hard rules
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1. **English only.** All documentation, code, comments, commit messages, and file names are written in English.
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2. **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.
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3. **Clean git history.** Commit messages must never reference AI assistants, code generation tools, or editors. No `Co-authored-by` trailers pointing to tools, no "Generated with ..." lines. Conventional commit format (`feat:`, `fix:`, `docs:`, `refactor:`).
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4. **Push target.** The only remote is `origin` → `git.produktor.io`. Never mirror this repository anywhere else.
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## Project layout
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```
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docs/ Design documentation (Markdown + Mermaid)
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simulator/ Virtual drone fleet — Python data generator (Parquet/DuckDB pipeline)
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prototype/ 2D swarm visualization — React + TypeScript (Vite)
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```
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## Conventions
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- Markdown: ATX headings, fenced code blocks with language tags, pipe tables.
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- Python: PEP 8, type hints, pure functions where possible, no unnecessary classes.
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- TypeScript: strict mode, functional components and hooks, no extra UI libraries.
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- YAML: 2-space indent.
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- Diagrams: Mermaid inside Markdown.
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