docs: on-prem data platform proposal for autonomous drone swarms

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.

AGENTS.md

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+# AGENTS.md
+
+Rules for anyone (human or tooling) contributing to this repository.
+
+## Hard rules
+
+1. **English only.** All documentation, code, comments, commit messages, and file names are written in English.
+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.
+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:`).
+4. **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.