Herb-AI/HerbSearch.jl
Nov 2024 – Mar 2025
5 Months active
Languages Used
JuliaTOMLYAML
Technical Skills
Algorithm DesignData ProcessingProgram SynthesisRefactoringSoftware DesignSoftware Development
Pamela Wochner
PROFILE
Pamela Wochner
Philipp Wochner developed a modular divide-and-conquer search framework for program synthesis in the HerbSearch.jl repository, focusing on scalable, data-driven feature discovery. He architected a configurable pipeline that integrates decision-tree learning, grammar-constrained predicate generation, and flexible API design, enabling robust construction of final programs from learned decision trees. Using Julia and leveraging technologies like DecisionTree and DomainRuleNode, he refactored core workflows for maintainability, improved test coverage, and streamlined data handling with IOExample abstractions. His work included extension development, CI/CD upgrades, and comprehensive documentation, resulting in a maintainable, extensible codebase that supports external integration and efficient symbolic AI workflows.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
26Total
Bugs
1
Commits
26
Features
8
Lines of code
3,451
Activity Months5
Your Network
46 people
Work History
March 2025
7 Commits • 2 Features
Mar 1, 2025March 2025 performance-focused month for HerbSearch.jl, delivering a modular Divide-and-Conquer extension, enhancing test coverage, and upgrading the stack for long-term maintainability.
7 Commits • 2 Features
Mar 1, 2025March 2025 performance-focused month for HerbSearch.jl, delivering a modular Divide-and-Conquer extension, enhancing test coverage, and upgrading the stack for long-term maintainability.
March 2025
February 2025
2 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for HerbSearch.jl focused on external API enablement, flexible predicate generation, and test optimization. No major bug fixes documented this month; emphasis was on delivering features with clear business value and improving test reliability.
February 2025
2 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for HerbSearch.jl focused on external API enablement, flexible predicate generation, and test optimization. No major bug fixes documented this month; emphasis was on delivering features with clear business value and improving test reliability.
January 2025
7 Commits • 1 Features
Jan 1, 2025January 2025 highlights: Delivered end-to-end enhancement to HerbSearch.jl enabling construction of a final program directly from a learned decision tree, with a refactored conquer pipeline and aligned divide-and-conquer flow. Added new DecisionTree dependency to support the workflow, and updated type annotations, IOExample usage, and API/docs for improved readability and integration. Reactivated and expanded test coverage to verify correctness of search algorithms, while cleaning up exports and docstrings for maintainability.
7 Commits • 1 Features
Jan 1, 2025January 2025 highlights: Delivered end-to-end enhancement to HerbSearch.jl enabling construction of a final program directly from a learned decision tree, with a refactored conquer pipeline and aligned divide-and-conquer flow. Added new DecisionTree dependency to support the workflow, and updated type annotations, IOExample usage, and API/docs for improved readability and integration. Reactivated and expanded test coverage to verify correctness of search algorithms, while cleaning up exports and docstrings for maintainability.
January 2025
December 2024
3 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for Herb-AI/HerbSearch.jl: Focused on strengthening program synthesis robustness and search scalability. Delivered two major feature implementations with targeted refactors, expanded testing coverage, and groundwork for scalable performance in production usage. Key achievements include: - Decision-tree based predicate generation improvement for program synthesis: constrained predicate generation, refactor conquer_combine to properly handle input-output examples and predicates, and enhanced get_predicates to incorporate grammar constraints. Commit: b7f07bd1d5116d7d55cd50f3d14c70e6d40f9f88. - Divide-and-conquer search refactor and testing improvements: refactor to process StateHoles instead of RuleNodes; added a new error type for conditional if-else statements; updated tests, exports, and documentation; plus BV benchmark test example as part of testing. Commits: 8c8db8225c667e5ef30e2dff6f0058837d5a2a49; 768b73395cfab5f7da185bffedd872245aa9b937. Overall impact: - Improved reliability and quality of program synthesis through constrained predicates and clearer error handling. - Enhanced search scalability and maintainability via StateHole-based processing and better test coverage, including benchmark scenarios. - Strengthened documentation and exports to support broader adoption and easier onboarding. Technologies/skills demonstrated: - Julia language proficiency, refactoring and modularization, state-hole representation, grammar-constrained predicate generation, testing strategies, and performance benchmarking.
December 2024
3 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for Herb-AI/HerbSearch.jl: Focused on strengthening program synthesis robustness and search scalability. Delivered two major feature implementations with targeted refactors, expanded testing coverage, and groundwork for scalable performance in production usage. Key achievements include: - Decision-tree based predicate generation improvement for program synthesis: constrained predicate generation, refactor conquer_combine to properly handle input-output examples and predicates, and enhanced get_predicates to incorporate grammar constraints. Commit: b7f07bd1d5116d7d55cd50f3d14c70e6d40f9f88. - Divide-and-conquer search refactor and testing improvements: refactor to process StateHoles instead of RuleNodes; added a new error type for conditional if-else statements; updated tests, exports, and documentation; plus BV benchmark test example as part of testing. Commits: 8c8db8225c667e5ef30e2dff6f0058837d5a2a49; 768b73395cfab5f7da185bffedd872245aa9b937. Overall impact: - Improved reliability and quality of program synthesis through constrained predicates and clearer error handling. - Enhanced search scalability and maintainability via StateHole-based processing and better test coverage, including benchmark scenarios. - Strengthened documentation and exports to support broader adoption and easier onboarding. Technologies/skills demonstrated: - Julia language proficiency, refactoring and modularization, state-hole representation, grammar-constrained predicate generation, testing strategies, and performance benchmarking.
November 2024
7 Commits • 1 Features
Nov 1, 2024November 2024 (2024-11) – HerbSearch.jl: Delivered a Divide and Conquer Search Framework extending the program synthesis pipeline. Established a modular divide/decide/conquer architecture with configurable search controls, divide-by-example workflow, solution evaluation scaffolding, and initial conquer groundwork (labels/predicates). Refactors and data handling improvements were completed to support IOExample-based feature extraction, accompanied by expanded tests and validation. This work lays the foundation for scalable, data-driven feature discovery in HerbSearch.jl.
7 Commits • 1 Features
Nov 1, 2024November 2024 (2024-11) – HerbSearch.jl: Delivered a Divide and Conquer Search Framework extending the program synthesis pipeline. Established a modular divide/decide/conquer architecture with configurable search controls, divide-by-example workflow, solution evaluation scaffolding, and initial conquer groundwork (labels/predicates). Refactors and data handling improvements were completed to support IOExample-based feature extraction, accompanied by expanded tests and validation. This work lays the foundation for scalable, data-driven feature discovery in HerbSearch.jl.
November 2024
Activity
Loading activity data...
Quality Metrics
Correctness86.6%
Maintainability87.4%
Architecture86.2%
Performance70.8%
AI Usage22.4%
Skills & Technologies
Programming Languages
JuliaTOMLYAML
Technical Skills
API DesignAbstract InterpretationAlgorithm DesignAlgorithm DevelopmentAlgorithm RefactoringCI/CDCode ModularityCode RefactoringConstraint satisfactionData ProcessingDecision TreesDependency ManagementDocumentationExtension DevelopmentGrammar-based Generation
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline