docs: update README for Docker fix, FLAC/streaming features; add README rule to CLAUDE.md

- Remove stale instruction to set output_directory = /recordings in Docker
- Document that docker compose down + up --build is required when updating
- Fix output_directory and log_file table descriptions
- Expand Web UI section: inline playback, FLAC waveform, live REC badge, WCAG
- Fix Docker notes: log_file path and log_file in Docker guidance
- Add rule to CLAUDE.md: always update and commit README.md with code changes

CLAUDE.md

@@ -2,6 +2,11 @@
 
 This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
 
+## Rules
+
+- **Always update `README.md`** whenever user-facing behaviour changes (new flags, new endpoints, changed Docker setup, new features). The README is the primary external reference; CLAUDE.md documents internals.
+- **Always commit `README.md`** in the same commit as the code changes it documents — never let the README fall behind.
+
 ## Project Overview
 
 ISR is a Python audio recording application that captures from multiple simultaneous sources (Icecast/HTTP streams and ALSA soundcard devices) with time-based file splitting. All application code is in two files: `isr.py` (recorder) and `web.py` (archive browser UI).

README.md

@@ -33,19 +33,26 @@ python web.py                     # start web UI at http://localhost:8080
 
 ```bash
 cp config.example.ini config.ini
-# In config.ini set: output_directory = /recordings
+# edit config.ini to add your sources (no path changes needed for Docker)
-# Optionally set:    log_file = /recordings/recorder.log
 
 docker compose up -d
 # recorder starts immediately; web UI at http://<host>:8080
 docker compose logs -f            # tail logs from both services
-docker compose down               # graceful stop
+docker compose down               # graceful stop (waits up to 30 s for files to close)
 ```
 
-Recordings land in `./recordings/` on the host (bind-mounted into both containers).
+Recordings land in `./recordings/` on the host (bind-mounted into both containers at different internal paths — no config changes required vs. bare-metal).
 
 If you only record streams (no soundcard), comment out the `devices` block in `docker-compose.yml`.
 
+**Updating a running deployment:**
+```bash
+git pull
+docker compose down
+docker compose up -d --build
+```
+`docker compose down` is required — Docker won't apply changed volume mounts to existing containers without recreating them.
+
 ---
 
 ## Configuration
@@ -56,13 +63,13 @@ If you only record streams (no soundcard), comment out the `devices` block in `d
 
 | Key | Default | Description |
 |-----|---------|-------------|
-| `output_directory` | `recordings` | Output path. Use `/recordings` in Docker. |
+| `output_directory` | `recordings` | Output path relative to the working directory (or absolute). The Docker setup mounts `./recordings` at `/app/recordings` so this default works unchanged. |
 | `split_minutes` | `60` | Split into a new file every N minutes, aligned to clock boundaries (e.g. 60 → files start at :00, 30 → at :00 and :30). |
 | `filename_pattern` | `%Y%m%d_%H%M%S` | strftime pattern; file extension is appended automatically. |
 | `max_retries` | `10` | Give up after this many consecutive failures per source. |
 | `retry_delay_seconds` | `5` | Wait between retries. |
 | `log_level` | `INFO` | `DEBUG` / `INFO` / `WARNING` / `ERROR` / `CRITICAL` |
-| `log_file` | `recorder.log` | Log file path. Use `/recordings/recorder.log` in Docker. |
+| `log_file` | `recorder.log` | Log file path. In Docker, logs also go to stdout and are visible via `docker compose logs`. |
 
 ### `type = stream`
 
@@ -146,9 +153,12 @@ python web.py --port 8888            # custom port
 python web.py --threshold 0.03       # loudness threshold 0–1 (default 0.05)
 ```
 
-Shows a table of all recordings sorted newest-first with file size, duration (WAV only), and a waveform analysis button. Analysis computes RMS per 100 ms window and highlights contiguous sections above the loudness threshold.
+Shows a table of all recordings sorted newest-first. Features:
 
-Waveform analysis is WAV-only; numpy speeds it up significantly (pure-Python fallback available without it).
+- **Inline playback** — collapsible `▶ Play` button per row; audio loads lazily via a seekable `/stream/` endpoint with HTTP Range support.
+- **Waveform analysis** — on demand per file; computes RMS per 100 ms window and highlights loud sections. Supported for WAV and FLAC (FLAC requires `numpy` + `soundfile`). Pure-Python fallback for WAV when numpy is absent.
+- **Live REC badge** — files currently being written by `isr.py` show an animated REC indicator, polled every 5 seconds via `/api/status`.
+- **WCAG-compliant** — skip link, `aria-expanded`/`aria-controls` on the player toggle, `aria-live` status, focus management, `role=img` on SVG waveforms.
 
 ---
 
@@ -174,7 +184,7 @@ ls -la /dev/snd      # check device nodes
 
 **Stream-only deployments:** If you don't use soundcard recording, remove the `devices` block from `docker-compose.yml` — the image works fine without it.
 
-**Log file in Docker:** Set `log_file = /recordings/recorder.log` in `config.ini` so logs survive container restarts. Alternatively, use `docker compose logs` (the recorder always logs to stdout as well).
+**Log file in Docker:** The recorder always logs to stdout, so `docker compose logs -f` shows live output. To persist logs on the host, set `log_file = /app/recordings/recorder.log` in `config.ini` (the `recordings` directory is the bind mount).
 
 **File retention:** ISR never deletes recordings. Add a cron job on the host if needed:
 ```bash