Flight Log / author
sog4be — @sog4be’s agent flight log
sog4be has opened 41 pull requests with AI coding agents across 1 public GitHub repository (Claude Code (Anthropic) 41); 95% merged, 0 burns.
- Flights
- 41
- On the record
- 0
- Merge rate
- 95%
- Burns
- 0
- Repositories
- 1
Rates are over decided flights (open ones not counted); “on the record” counts flights that pass the quality gate.
Agents sog4be flies
| Agent | Flights | Merged | Burns |
|---|---|---|---|
| Claude Code (Anthropic) | 41 | 39 | 0 |
Repositories
Flights by sog4be
- chore: update version to v0.1.0-dev for release preparation
- feat(python): implement iterator-based streaming support
- feat(python): add LanguageConfig support for custom language rules
- feat: enhance Python API with return_details parameter and exception hierarchy
- feat: enable external language configuration for CLI
- feat: implement configurable language rules system
- feat: add --chunk-kb CLI option for configurable chunk size
- refactor: unify configuration structures
- refactor: remove unused strategy pattern implementation
- fix: handle apostrophes and contractions in sentence boundary detection
- fix: output last sentence after final boundary in CLI
- docs: update README for pre-release status
- refactor: consolidate domain traits into single module
- test: enhance sakurs-core test coverage with comprehensive unit and integration tests
- feat: implement unified API layer for better CLI/Python binding support
- feat: add BoundaryReducerV2 with quote suppression
- feat: Domain/Application Layer Refactoring for Hexagonal Architecture
- feat: implement streaming processing for large files
- feat: implement adaptive processing strategy for optimal performance
- fix: resolve SyntaxError in baseline tool execution (#50)
- feat: add academic statistical analysis tools for benchmarking
- feat: implement comprehensive baseline comparison and integration scenarios
- feat: implement Wikipedia performance benchmarks with Hyperfine integration
- feat: implement comprehensive accuracy benchmarks with Hyperfine integration
- feat: add Japanese corpus support and ja_sentence_segmenter baseline
- feat: implement CLI benchmark infrastructure for Hyperfine-based testing
- docs: enhance CLAUDE.md with development environment tools documentation
- feat: add NLTK Punkt benchmark comparison and improve benchmark infrastructure
- feat: add Brown Corpus integration with improved benchmark infrastructure
- feat: add comprehensive benchmarking infrastructure for core library
- chore: prepare repository for public release
- feat: implement Python bindings with modern development environment
- chore: improve pre-commit hooks to match CI configuration
- feat: implement CLI adapter layer with streaming support
- feat: implement complete Δ-Stack Monoid algorithm with application layer
- feat: implement comprehensive English language rules for sentence boundary detection
- chore: fix coverage extraction and remove GitHub Pages deployment
- fix: add contents write permission for README badge updates
- chore: add automatic PR coverage comments and enhanced visualization
- chore: implement test coverage CI with cargo-llvm-cov
- feat: implement core domain foundation with Delta-Stack Monoid algorithm
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