docs: initialize project

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# NetSynth
## What This Is
A Go CLI tool that captures live network traffic on an interface, clusters and classifies the packets by protocol/pattern, and synthesizes an ambient MP3 soundscape where each traffic type produces a distinct harmonic drone or tone. Run it, let it listen, hit Ctrl+C, and get an audio fingerprint of your network.
## Core Value
Network traffic patterns are instantly recognizable as distinct sounds — a ping sounds different from HTTPS noise, which sounds different from a port scan.
## Requirements
### Validated
(None yet — ship to validate)
### Active
- [ ] Capture live packets from a specified network interface until interrupted (Ctrl+C)
- [ ] Classify packets by known protocols (ICMP, TCP/HTTPS, DNS, SSH, etc.) using predefined rules
- [ ] Auto-cluster unrecognized traffic patterns and assign them unique tones
- [ ] Map each traffic class to a distinct harmonic/drone sound layer
- [ ] Aggregate traffic into time windows to drive amplitude and tonal evolution
- [ ] Synthesize ambient/drone audio from the layered sound mappings
- [ ] Encode and save output as MP3 file
- [ ] CLI interface with flags for interface selection and output file path
### Out of Scope
- Real-time audio playback — v1 is file output only
- GUI or web interface — CLI only
- Custom sound mapping configuration — predefined + auto-cluster only
- Rhythmic/percussive output — ambient/drone style only
## Context
- Built in Go for single-binary distribution and performance
- Needs packet capture (likely pcap/gopacket) — may require elevated privileges
- Audio synthesis in Go is less common than Python; will need to evaluate libraries
- MP3 encoding requires an encoder library or CGo bindings (e.g., LAME)
- The "ambient/drone" style means layered sine/harmonic waves that evolve slowly based on traffic volume and mix, not discrete note triggers
## Constraints
- **Language**: Go — user preference, single binary output
- **Privileges**: Packet capture requires root/CAP_NET_RAW on Linux
- **Audio format**: MP3 output (not WAV or raw PCM)
- **Interaction model**: Non-interactive capture (run → Ctrl+C → file saved)
## Key Decisions
| Decision | Rationale | Outcome |
|----------|-----------|---------|
| Go over Python/Rust | User preference, single binary, good perf | — Pending |
| Ambient/drone style | Layered tones better represent continuous traffic patterns | — Pending |
| Predefined + auto-cluster | Known protocols get recognizable sounds; unknown traffic still represented | — Pending |
| File output only | Simpler v1, avoids real-time audio complexity | — Pending |
## Evolution
This document evolves at phase transitions and milestone boundaries.
**After each phase transition** (via `/gsd:transition`):
1. Requirements invalidated? → Move to Out of Scope with reason
2. Requirements validated? → Move to Validated with phase reference
3. New requirements emerged? → Add to Active
4. Decisions to log? → Add to Key Decisions
5. "What This Is" still accurate? → Update if drifted
**After each milestone** (via `/gsd:complete-milestone`):
1. Full review of all sections
2. Core Value check — still the right priority?
3. Audit Out of Scope — reasons still valid?
4. Update Context with current state
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*Last updated: 2026-03-24 after initialization*