Remaining Implementation Work¶

Date: 2026-01-16 Status: Phase 2 In Progress - Core infrastructure complete, CI integration pending

✅ Completed (Phase 1-2)¶

RFC-015: AI Experiment Pipeline¶

✅ Phase 1: Experiment Runner
✅ Phase 2: Evaluation Metrics Integration
✅ Phase 3: Storage & Comparison (visualization pending)

RFC-041: Podcast ML Benchmarking Framework¶

✅ Phase 0: Dataset Freezing & Baselines
✅ Phase 1: Integration with RFC-015
✅ Phase 2: Benchmark Runner

RFC-016: Provider Modularization¶

✅ Phase 2: Provider params & fingerprinting
✅ Phase 3: Evaluation infrastructure (ROUGE, BLEU, WER, semantic similarity implemented)

⏳ Remaining Work¶

Priority 1: CI Integration (Critical Path)¶

RFC-015 Phase 4: CI Integration¶

Estimate: 1 week Status: Pending

[ ] Smoke tests on PRs
Add GitHub Actions workflow for PR smoke tests
Run fast subset of experiments (smoke datasets)
Fail PR if smoke tests fail
[ ] Nightly comprehensive experiments
Add scheduled GitHub Actions workflow
Run full benchmark suite on main branch
Store results for historical tracking
[ ] Regression detection automation
Integrate RegressionChecker into CI workflows
Block PRs on critical regressions
Generate regression reports
[ ] PR comments with experiment results
Create scripts/generate_pr_comment.py
Post comparison table (PR vs baseline) as PR comment
Update existing comments (don't duplicate)

Deliverables: - .github/workflows/experiment-smoke.yml - PR smoke tests - .github/workflows/experiment-nightly.yml - Nightly full runs - PR comments automatically posted with metric comparisons

RFC-041 Phase 3: CI Integration¶

Estimate: 1 week Status: Pending

[ ] Smoke benchmarks on PRs
Use make benchmark SMOKE=1 in PR workflow
Fast subset (smoke datasets only)
Fail PR on regression
[ ] Nightly full benchmarks
Use make benchmark ALL=1 in scheduled workflow
Run on all datasets
Store results in data/eval/benchmarks/
[ ] PR comments with regression status
Post benchmark summary as PR comment
Show per-dataset results
Highlight regressions
[ ] Block PRs on critical regressions
Use RegressionChecker to detect violations
Fail CI job on error-level regressions
Allow warning-level regressions (non-blocking)

Deliverables: - .github/workflows/benchmark-smoke.yml - PR smoke benchmarks - .github/workflows/benchmark-nightly.yml - Nightly full benchmarks - Automated regression blocking

Priority 2: Documentation & Polish¶

RFC-041 Phase 4: Documentation & Polish¶

Estimate: 1 week Status: Pending

[ ] Complete benchmarking framework documentation
Update docs/guides/EXPERIMENT_GUIDE.md with CI integration
Document benchmark workflow
Add troubleshooting section
[ ] Examples and tutorials
Create example experiment configs
Create example benchmark configs
Add step-by-step tutorials
[ ] User guide for creating new datasets
Document dataset creation workflow
Best practices for dataset selection
Dataset versioning guidelines
[ ] User guide for creating new baselines
Document baseline creation workflow
When to update baselines
Baseline promotion guidelines

Deliverables: - Updated documentation - Example configs in data/eval/configs/examples/ - User guides in docs/guides/

Priority 3: Enhancements (Nice-to-Have)¶

RFC-015 Phase 3: Visualization (Pending)¶

Estimate: 1-2 days Status: Low priority

[ ] Visualization of metrics over time
Generate charts from historical data
Track metric trends
Compare multiple runs visually

Deliverables: - scripts/eval/generate_metrics_chart.py - HTML dashboard for metrics visualization

RFC-041 Phase 5: Enhancements & Iteration¶

Estimate: 1 week Status: Low priority

[ ] Cost tracking and visualization
Enhanced cost reporting
Cost trend analysis
Budget alerts
[ ] Optimize execution time
Parallelize experiment runs
Cache model outputs
Optimize dataset loading
[ ] Additional metrics
Perplexity scores
Coherence scores
Custom metric plugins
[ ] Baseline comparison dashboards
Web-based dashboard
Interactive comparisons
Historical trend visualization

Deliverables: - Performance optimizations - Enhanced metrics - Dashboard UI

Priority 4: Phase 3 - Proactive Alerting¶

RFC-043: Automated Metrics Alerts¶

Estimate: 1 day Status: Depends on CI integration Issue: #333

[ ] PR Comments (Priority 1)
Generate comparison markdown
Post on every PR
Update existing comments
[ ] Webhook Alerts (Priority 2)
Slack/Discord webhook support
Critical regression alerts
Main branch only
[ ] Testing & Refinement
Test PR comments don't duplicate
Test webhook alerts
Refine thresholds

Deliverables: - scripts/generate_pr_comment.py - Webhook alerting (optional) - Fully tested alerting system

Dependencies: - ⏳ RFC-015 Phase 4 (CI integration) - ⏳ RFC-041 Phase 3 (CI integration)

Summary¶

Critical Path (Must Have)¶

RFC-015 Phase 4: CI Integration (1 week)
RFC-041 Phase 3: CI Integration (1 week)

Total: ~2 weeks

Important (Should Have)¶

RFC-041 Phase 4: Documentation & Polish (1 week)

Total: ~1 week

Nice-to-Have (Can Wait)¶

RFC-015 Phase 3: Visualization (1-2 days)
RFC-041 Phase 5: Enhancements (1 week)
RFC-043: Automated Metrics Alerts (1 day, depends on CI)

Total: ~2 weeks

Next Steps¶

Start with CI Integration (Priority 1)
Implement smoke tests for PRs
Add nightly comprehensive runs
Integrate regression detection
Add PR comment automation
Then Documentation (Priority 2)
Complete user guides
Add examples and tutorials
Document workflows
Finally Enhancements (Priority 3)
Visualization
Performance optimizations
Additional metrics
Alerting system

Current Status¶

Phase 1: ✅ Complete (Foundation) Phase 2: ⏳ In Progress (~70% complete) - ✅ Evaluation metrics - ✅ Storage & comparison - ✅ Benchmark runner - ⏳ CI integration (next) - ⏳ Documentation

Phase 3: ⏳ Planned (depends on Phase 2)