Integrate advanced audio tooling (Rubber Band, Pedalboard, LUFS diagnostics)

Refine effects rendering and move heavy delay/reverb to manual selection

Implement phrase-aware transition duration optimization and scoring

Implement disk-based caching for stem separation

Clean up refactoring artifacts and simplify main entry point

Enable automatic tempo matching for beat-matched transition types

Implement Spleeter support and RAM-aware stem backend selection

Implement multi-pass transition rendering with per-stem quality analysis

Implement musical candidate ranking and feedback-driven learning

Implement RLHF trajectory capture and agent briefing generation

Implement phrase-aware vocal rhythm alignment and dedicated vocal processing

Refactor app.py into logical sub-modules

Implement Apple Silicon optimized demucs-mlx backend for stem separation

Implement per-lane rhythm alignment and harmonic-aware melody automation

Fix filter curve clicking at chunk boundaries using sosfilt_zi

Implement shared AutomationIR renderer with explicit tempo policy and headroom protection

Fix: Shorten short_description for Hub metadata compliance

Implement explicit tempo policy and transparent volume headroom guards

Update README with recent renderer fix details

Fix systematic transition blackout in equal_power_out curve

Implement draggable timeline editor and enhanced objective transition diagnostics

Fix: Shorten short_description for Hub metadata compliance

Update documentation and add smoke tests for remaining gaps

Implement waveform cue editor and feedback-to-learning path

Enhance rendering engine with stem-aware AutomationIR and transition diagnostics

Fix: Remove colon from short_description for YAML compatibility

Fix: Shorten short_description to meet 60-char limit

Update app and README, and refresh song assets

Add documentation and smoke tests for planning and completion

Implement core DJ engine: transition optimization, cue learning, and set rendering

Add song assets and update .gitignore

Update .gitignore to simplify and properly handle assets

stem_render: accept max_iter param, use it for refinement iterations"

Fix: render_full_set takes (max_iter, progress) — match exact signature"

Make render_full_set_with_stems accept progress flexibly"

Fix Gradio arg passing — use exact same signature pattern as original"

Fix: Gradio 6 passes progress as 2nd arg — accept *args/**kwargs"

Fix stem_render function signature and add stem-based analysis"

Fix render_full_set signature (Gradio passes progress positionally) and use stems for analysis"

main.py: proper entrypoint that patches render_full_set BEFORE building UI"

Change app_file to main.py which patches stem rendering before building UI"

Add main.py as app entrypoint that patches render_full_set to use demucs+stems"

Make render_full_set use demucs stems by delegating to stem_render module"

requirements: add demucs for stem separation"

Add import of stem_render at bottom of app.py to override render_full_set"

Replace render_full_set with stem-based version using demucs + stem_mixer\n\nThe render function now:\n1. Loads demucs htdemucs model\n2. Separates each track into drums/bass/vocals/other stems\n3. Uses stem_mixer.mix_stems for surgical transitions\n4. Falls back to mixer.mix_set if demucs unavailable\n\nThis ensures zero kick clashing during transitions."

Add startup patch to wire stem-based rendering into the app"

Patch render_full_set to use demucs stem separation + stem_mixer\n\nAdds import at top and overrides render_full_set to:\n1. Run demucs htdemucs on each track\n2. Use stem_mixer.mix_stems for surgical drum/bass transitions\n3. Falls back to filter-based mixer if demucs fails"

Wire render_full_set to use demucs stems via stem_mixer

Add stem-based render_full_set using demucs + stem_mixer