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Build Log — January 15, 2026

Build Log — January 15, 2026

📅 Daily Log — January 15, 2026

🧠 Context / Focus for Today

Major focus on test coverage expansion (53% → 80%) and AI preference learning system. Garmin partner verification test suite. Workout modification tracking for AI learning. Smart workout notes parsing. Multi-sport training support (bike/swim) and 10K training plans. Developer experience improvements with skill creator and Stripe integration skill.

✔️ Things I Got Done Today

Test Coverage Expansion

Massive Test Suite Additions

  • Increased test coverage from 53% to 80%:
    • 13,476 lines of new test code
    • 13,177 lines in partner verification tests
    • Comprehensive coverage across all major modules
  • Component tests:
    • AddWorkoutForm.test.tsx (1,162 lines expanded)
    • ComplianceSummary.test.tsx (677 lines new)
    • WorkoutCard.test.tsx (688 lines new)
    • utils.test.ts (1,909 lines new)
    • ModalContext.test.tsx (1,276 lines new)
  • Training module tests:
    • compliance.test.ts (607 lines new)
    • ingestStructuredWorkout.test.ts (772 lines new)
    • structured-workout-schema.test.ts (1,969 lines new)
    • structured-workout-utils.test.ts (1,707 lines new)
    • validateStructuredWorkoutCore.test.ts (1,151 lines new)
    • zones.test.ts (946 lines new)
    • workout-mappers.test.ts (1,365 lines expanded)
    • structured-workout-types.test.ts (511 lines new)
    • recovery.test.ts (1,292 lines expanded)
  • Garmin integration tests:
    • build-training-workout.test.ts (867 lines expanded)
    • mapGarminActivityType.test.ts (871 lines new)
    • normalize-sport-type.test.ts (744 lines expanded)
    • wire-payload-transform.test.ts (848 lines expanded)
    • classify-run.test.ts (842 lines new)
    • error-handler.test.ts (999 lines new)
    • compute-laps-from-samples.test.ts (196 lines new)
  • Platform sync tests:
    • sync-state.test.ts (1,378 lines new)
  • TrainingPeaks tests:
    • activity-converter.test.ts (1,319 lines expanded)
    • csv-parser.test.ts (1,008 lines expanded)
    • tcx-parser.test.ts (510 lines new)
  • Hook tests:
    • useFocusTrap.test.ts (1,178 lines new)
  • Library tests:
    • logger.test.ts (781 lines new)

Garmin Partner Verification Tests

  • Merged comprehensive Garmin partner verification test suite (PR #205, #206):
    • Extensive test coverage for Garmin integration
    • Validates partner API compliance
    • Ensures data accuracy and reliability
    • Critical for partner certification

AI Preference Learning System

Core Learning Infrastructure

  • Built comprehensive AI preference learning system:
    • New database tables for learning data (136 lines migration)
    • Preference analysis API endpoint (139 lines)
    • Feedback collection API (169 lines)
    • Workout diff tracking (296 lines)
  • Core learning library (lib/ai/preference-learning.ts - 338 lines):
    • Analyzes user workout modifications
    • Learns from user preferences
    • Tracks workout changes over time
    • Generates preference insights

Workout Modification Tracking

  • Added workout modification tracking for AI learning:
    • Tracks all workout changes
    • Captures user preferences implicitly
    • Enables personalized recommendations
  • New workout diff library (lib/ai/workout-diff.ts - 296 lines):
    • Computes differences between workout versions
    • Identifies user preference patterns
    • Supports learning algorithm
  • Updated components:
    • TrainingCalendarApp.tsx (40 lines) - Track modifications
    • Calendar.tsx (5 lines) - Modification hooks

Preference Analysis API

  • Added preference analysis endpoint:
    • POST /api/coach/analyze-preferences (139 lines)
    • Analyzes user workout history
    • Identifies preference patterns
    • Generates insights
  • Feedback collection:
    • POST /api/coach/feedback (169 lines)
    • Collects explicit user feedback
    • Improves learning accuracy
    • Better recommendation quality

Smart Workout Notes Parsing

Intelligent Notes Processing

  • Added smart workout notes parsing:
    • Parses workout notes to create fallback steps
    • Extracts structured data from free text
    • Improves workout data completeness
  • Enhanced workout mappers (lib/training/workout-mappers.ts - 192 lines updated):
    • Intelligent note parsing
    • Step extraction from descriptions
    • Better workout structure inference
  • Comprehensive tests (tests/training/workout-mappers.test.ts - 335 lines):
    • Tests for note parsing
    • Edge case handling
    • Validation of parsed data

AI Coach Improvements

Workout Description Guidelines

  • Added workout description order guidelines to AI prompt:
    • Consistent workout formatting
    • Better AI understanding
    • Improved workout generation quality
  • Updated system prompt (ai/systemPrompt.ts - 20 lines):
    • Clear formatting guidelines
    • Better structure requirements
    • Improved AI output consistency

AI Insights Classification

  • Fixed AI insights to use workout sport type:
    • More accurate insights
    • Sport-specific recommendations
    • Better classification
  • Updated AIInsightsCard.tsx (54 lines):
    • Sport-aware insights
    • Better categorization
    • Improved user experience

Multi-Sport Training Support

  • Added comprehensive bike/swim training concepts and 10K plans:
    • Enhanced AI system prompt with cycling training concepts (78 lines added):
      • Power zones and FTP percentages
      • Cadence targets (80-120 RPM ranges)
      • Common cycling workout patterns
      • Training zone descriptions
    • Added swim training concepts:
      • CSS-based pace zones
      • Stroke types (freestyle, backstroke, breaststroke, butterfly)
      • Equipment types (pull buoy, paddles, fins)
      • Common swim workout patterns
    • Fixed hardcoded max HR in ActivityStatsModal:
      • Now uses athleteProfile.max_heart_rate with fallback to 184
      • More accurate heart rate zone calculations
    • Added 10K training plan templates (292 lines):
      • Beginner, intermediate, and advanced plans
      • Complements existing 5K, half-marathon, and marathon plans
      • Full 8-12 week structured programs
  • Multi-sport AI coach capabilities significantly expanded

AI Configuration Improvements

  • Increased OpenRouter max tokens to 65536:
    • Allows AI coach to return longer responses
    • More comprehensive workout generation
    • Models automatically cap at their own limits if lower
  • Reinforced sequential workout description order in AI prompt:
    • Moved instruction to create_workouts section as CRITICAL
    • Ensures warmup → main set → cooldown order
    • More prominent and actionable guidance

UI Improvements

  • Removed redundant AI workout success message:
    • Cleaner UI
    • Less notification noise
    • Better user experience
  • Fixed ActivityStatsModal positioning:
    • Added fitContent prop for consistent positioning
    • Aligns with DayWorkoutModal positioning
    • Better visual consistency
  • Improved Training Plans modal UX:
    • Increased modal height from 80vh to 90vh
    • Increased max-height from 800px to 900px
    • All filter options display without sidebar scrollbar

Garmin Integration Fixes

Webhook Authentication

  • Fixed Garmin webhook authentication issues:
    • Made authentication optional for development
    • Improved error handling
    • Fixed 401 errors
    • Better webhook reliability
  • Updated webhook route (app/api/garmin/webhook/route.ts - multiple fixes):
    • Flexible authentication
    • Better error recovery
    • Improved reliability

Lap Data Backfill

  • Added lap data backfill endpoint:
    • POST /api/garmin/backfill-laps (71 lines)
    • Backfills missing lap data
    • Improves data completeness
    • Better historical data

Developer Experience Improvements

Skill Creator System

  • Added comprehensive skill creator system:
    • Skill creation guide (186 lines)
    • Skill creator skill (81 lines)
    • Python scripts for skill management:
      • init_skill.py (302 lines) - Initialize new skills
      • package_skill.py (113 lines) - Package skills
      • quick_validate.py (66 lines) - Validate skills
  • Unit test writer agent (220 lines):
    • Automated test generation
    • Better test coverage
    • Improved development workflow

Stripe Integration Skill

  • Added Stripe integration skill (442 lines):
    • Comprehensive Stripe integration guide
    • Payment processing patterns
    • Subscription management
    • Webhook handling
  • Enables AI assistant to implement Stripe features

Development Scripts

  • Added numerous development and diagnostic scripts:
    • backfill-user-laps.ts (44 lines)
    • benchmark-bootstrap.ts (24 lines)
    • benchmark-main.ts (381 lines)
    • check-activity-details.ts (54 lines)
    • check-lap-data.ts (41 lines)
    • check-samples.ts (51 lines)
    • check-structured-data.ts (30 lines)
    • check-webhook-laps.ts (109 lines)
    • check-workouts.ts (68 lines)
    • diagnose-lap-data.ts (166 lines)
    • get-user-id.ts (31 lines)
    • run-strava-backfill.ts (65 lines)
    • test-ai-context.ts (111 lines)
    • verify-laps.ts (62 lines)
  • Improved development and debugging capabilities

Configuration Updates

  • Updated Next.js configuration:
    • Removed deprecated next.config.mjs
    • Updated next.config.js (4 lines)
    • Better build configuration

🚧 In Progress

  • AI preference learning (core complete, fine-tuning and optimization needed)
  • Test coverage (80% achieved, additional edge cases to cover)
  • Garmin partner verification (test suite complete, certification in progress)
  • Smart notes parsing (initial implementation complete, additional parsing patterns planned)

🎯 Targets for Tomorrow

  1. Continue test coverage expansion — target 85%+ coverage
  2. Fine-tune AI preference learning — optimize learning algorithms
  3. Monitor Garmin partner verification — track certification progress
  4. Expand smart notes parsing — add more parsing patterns
  5. Performance optimization — review large test files for optimization

🤔 Notes / Observations

  • Massive test coverage expansion (53% → 80%) significantly improves code reliability
  • AI preference learning system enables personalized workout recommendations
  • Smart notes parsing improves workout data completeness from free text
  • Multi-sport training support (bike/swim) expands AI coach capabilities beyond running
  • 10K training plans complete the distance-based plan catalog (5K, 10K, half, marathon)
  • Garmin partner verification tests ensure API compliance and data accuracy
  • Skill creator system improves developer productivity and consistency
  • Comprehensive development scripts enhance debugging and maintenance
  • All improvements maintain backward compatibility
  • Strong focus on both code quality (tests) and user experience (AI learning)
  • Large code additions (26,000+ lines) demonstrate exceptional productivity
  • Test coverage expansion is critical for maintaining code quality as project scales
  • Increased OpenRouter token limits enable more comprehensive AI responses

📈 Momentum Score: 10 / 10

Exceptional day with massive test coverage expansion and AI learning system implementation. Test coverage increased from 53% to 80% with 26,000+ lines of comprehensive tests. AI preference learning system enables personalized recommendations. Smart notes parsing improves data completeness. Multi-sport training support (bike/swim) significantly expands AI coach capabilities beyond running, with comprehensive training concepts and 10K plan templates. Garmin partner verification tests ensure compliance. Skill creator system improves developer productivity. Comprehensive development scripts enhance debugging. Increased OpenRouter token limits and improved UI consistency enhance user experience. All improvements maintain code quality and user experience. Outstanding productivity that significantly advances both code reliability and product intelligence. This level of test coverage, AI learning infrastructure, and multi-sport support positions the project for sustainable growth and high-quality user experiences across multiple training disciplines.