
Jacob Spainhour developed advanced geometry processing capabilities for the LLNL/axom repository, focusing on robust NURBS and Bezier algorithms, CAD mesh orientation, and 3D clipping primitives. He engineered features such as batched processing, 2D memoization, and flexible integral evaluation, using C++ and CMake to ensure high performance and maintainability. His approach emphasized test-driven development, code refactoring, and documentation hygiene, resulting in reliable geometry workflows and streamlined APIs. By addressing edge cases, numerical tolerances, and error handling, Jacob improved both runtime stability and developer experience, enabling scalable, accurate geometry computations and supporting smoother integration for downstream CAD and simulation pipelines.

January 2026: Delivered three core enhancements to LLNL/axom that improve geometry fidelity, processing flexibility, and code quality. Key work includes CAD Mesh Orientation Improvements with STEPReader trimmed surfaces support, new 3D geometry clipping primitives, and a debugging upgrade with informative assertions. These changes enhance CAD workflow accuracy, enable trimmed-surface handling, and reduce debugging time, supporting smoother releases and lower maintenance costs across CAD/mesh pipelines.
January 2026: Delivered three core enhancements to LLNL/axom that improve geometry fidelity, processing flexibility, and code quality. Key work includes CAD Mesh Orientation Improvements with STEPReader trimmed surfaces support, new 3D geometry clipping primitives, and a debugging upgrade with informative assertions. These changes enhance CAD workflow accuracy, enable trimmed-surface handling, and reduce debugging time, supporting smoother releases and lower maintenance costs across CAD/mesh pipelines.
Month: 2025-12 — LLNL/axom: Delivered foundational and robustness improvements to the Bezier/NURBS integral evaluation framework, enhanced reliability of NURBSPatch operations, and code readability improvements, complemented by expanded tests to validate area and line integrals. The work focuses on delivering business value by enabling flexible integral evaluations, more reliable geometry operations, and easier maintainability.
Month: 2025-12 — LLNL/axom: Delivered foundational and robustness improvements to the Bezier/NURBS integral evaluation framework, enhanced reliability of NURBSPatch operations, and code readability improvements, complemented by expanded tests to validate area and line integrals. The work focuses on delivering business value by enabling flexible integral evaluations, more reliable geometry operations, and easier maintainability.
November 2025 LLNL/axom monthly summary focusing on features delivered and code maintainability improvements. Key features delivered: Winding Number Documentation Enhancement—clarified parameter descriptions in the winding_number function to improve readability and reduce misuse; Code Cleanup—removed a commented-out line of code related to adding edges between polygons in Polygon Edge Addition, streamlining the code and clarifying data flow. Major bugs fixed: none reported this month; emphasis was on documentation and cleanup to reduce technical debt. Overall impact: improved API clarity for wind ing_number usage, reduced risk of misuse, and streamlined polygon handling logic, contributing to faster onboarding of new contributors and lower maintenance costs. Technologies/skills demonstrated: API documentation standards, code refactoring and cleanup, and traceable change history through commits.
November 2025 LLNL/axom monthly summary focusing on features delivered and code maintainability improvements. Key features delivered: Winding Number Documentation Enhancement—clarified parameter descriptions in the winding_number function to improve readability and reduce misuse; Code Cleanup—removed a commented-out line of code related to adding edges between polygons in Polygon Edge Addition, streamlining the code and clarifying data flow. Major bugs fixed: none reported this month; emphasis was on documentation and cleanup to reduce technical debt. Overall impact: improved API clarity for wind ing_number usage, reduced risk of misuse, and streamlined polygon handling logic, contributing to faster onboarding of new contributors and lower maintenance costs. Technologies/skills demonstrated: API documentation standards, code refactoring and cleanup, and traceable change history through commits.
October 2025 delivered stability and modernization across testing, builds, and numerical methods. Key outcomes include test-suite stabilization with targeted additions and reorganization; build-system/header hygiene with renamed headers and added cache methods; MFEM-aware integration for integral methods plus cleanup of MFEM dependencies; internal refactor and API upgrades (templated copy constructor, memoized sampling); and a performance-oriented switch to axom::FlatMap. Business value: reduced CI risk, faster iteration, cleaner dependencies, and improved runtime performance.
October 2025 delivered stability and modernization across testing, builds, and numerical methods. Key outcomes include test-suite stabilization with targeted additions and reorganization; build-system/header hygiene with renamed headers and added cache methods; MFEM-aware integration for integral methods plus cleanup of MFEM dependencies; internal refactor and API upgrades (templated copy constructor, memoized sampling); and a performance-oriented switch to axom::FlatMap. Business value: reduced CI risk, faster iteration, cleaner dependencies, and improved runtime performance.
In September 2025, the LLNL/axom development effort centered on delivering a robust 2D memoization capability, stabilizing disk-related logic, and elevating code quality and documentation. The work enhances reliability for memoized computations, improves rendering/geometry workflows, and strengthens maintainability for future releases.
In September 2025, the LLNL/axom development effort centered on delivering a robust 2D memoization capability, stabilizing disk-related logic, and elevating code quality and documentation. The work enhances reliability for memoized computations, improves rendering/geometry workflows, and strengthens maintainability for future releases.
August 2025: Performed a targeted documentation hygiene update in LLNL/axom by correcting terminology in NURBSPatch.hpp to reflect NURBS patch functionality (replacing 'curves' with 'patch axes') with no code changes or behavior impact. The change was committed as c899d935214ceb8cfc104179dd87eba829f49ae6 ('Fix old copy-paste errors'), improving documentation accuracy for downstream users.
August 2025: Performed a targeted documentation hygiene update in LLNL/axom by correcting terminology in NURBSPatch.hpp to reflect NURBS patch functionality (replacing 'curves' with 'patch axes') with no code changes or behavior impact. The change was committed as c899d935214ceb8cfc104179dd87eba829f49ae6 ('Fix old copy-paste errors'), improving documentation accuracy for downstream users.
May 2025 monthly summary for LLNL/axom focusing on delivering scalable processing, robustness, and maintainability improvements. This period delivered key features, substantial bug fixes, broader test coverage, and API/usability improvements. Key features delivered: - Batched processing capability introduced with updated tests to cover the batched path, enabling higher throughput for large datasets. - Commits: 92fd430746f5284ace58bafd7e655829c3a8492c; 3ae5c7cf49fc14abeb8ad625ea0279e5c79243b9 - Algorithm robustness and API improvements: restructure intersect to return a success flag; begin handling degenerate cases; reorder methods to manage self-calls; add more robust edge-case handling; and enhance cast direction method. - Commits: starting with da2148c1fa083dda94827d01d00ba4397054ca0e, through 67518fc53274d63f8b377c63d5e5fb758bb8116d - Testing: average surface normal – added tests to validate geometry calculations under varying conditions. - Commit: ce7e31a29e2c320fefb9a8fd3b87903ecf32d5c5 - API/tuning and typing: added tolerance to circle_bbox API and introduced type hints for better usability. - Commits: ffa1aebbf015dbad6a7e139f6ff992a67ef60f68; 08ad9a08b4351059aad1ff383d42886ea8ef79ae - Code quality, cleanup, and test maintenance: refactoring and cleanup to improve readability and stability; restoring and aligning tests for stability; documentation and comments enhancements. Major bugs fixed: - Core algorithm and correctness fixes: fixes to minor errors, intersection return values, function prototypes, recursive calls, average normal formula, near-tangent checks, and edge-case trimming to ensure correct behavior. - Commits include: 8e216d2b61dbcfe9af3e9916fde2988fd8073281; 055475619eb5fa50268a125018d838ee2e5ed655; e7d648213f839be3fe00a16cbcfbd5a8b64b452a; d4851001098161eef44900d1e25a44b262ed5671; 4edd3dac93cf30a246def20fe5973d118fe971a4; d826f94bac9e2b5e43485fa48cd68192560a08bc; 234eb767beee741f4f64101d664113235c98c185 - Winding number correctness fix: fix incorrect call in winding_number_3d. - Commit: 9917f5accd0a91d6f91eba67c55d3da4978b75e1 - Intersections limit robustness: add a stricter limit on the number of intersections to prevent pathological cases. - Commit: feb3dd377b88344dd0a3b18ed2443c4a135ece3d - Axis rotation edge case fix and trimming curve logic fixes to ensure stability under edge-case inputs. - Commits: 046200dab86f4b26aacba891565b260f1dd9dcb0; 78510463ec0a37b8ca67302312413ae220f5910a; 9533830d57f4f7ad5216acb723f24950110ead95 Overall impact and accomplishments: - Significantly improved reliability and performance of geometry processing pipelines, enabling larger batched workloads with confidence in correctness. - Enhanced API usability and developer experience through typing, tolerances, and cleaner interfaces, reducing integration time for downstream users. - Expanded test coverage and stability, leading to faster debugging, reduced bug recurrence, and easier maintenance. - Maintained momentum with code quality improvements and documentation, enabling easier future contributions. Technologies and skills demonstrated: - Geometry algorithms (robustness, edge-case handling, near-tangent checks), API design, and performance-oriented refactoring. - Test-driven development (new tests, baseline validation, test suite restoration). - Code quality focus: cleanup, comments, style fixes, const correctness and type hints. - C++-based implementation with modularization and separation of concerns (axis rotation refactor, interface improvements). Business value: - Higher throughput for data processing due to batched operations. - More reliable geometry computations reduce downstream bug fixes and integration risk. - Clearer APIs and type-safety shorten onboarding and downstream development time. - Improved stability and maintainability support faster feature development in the next cycle.
May 2025 monthly summary for LLNL/axom focusing on delivering scalable processing, robustness, and maintainability improvements. This period delivered key features, substantial bug fixes, broader test coverage, and API/usability improvements. Key features delivered: - Batched processing capability introduced with updated tests to cover the batched path, enabling higher throughput for large datasets. - Commits: 92fd430746f5284ace58bafd7e655829c3a8492c; 3ae5c7cf49fc14abeb8ad625ea0279e5c79243b9 - Algorithm robustness and API improvements: restructure intersect to return a success flag; begin handling degenerate cases; reorder methods to manage self-calls; add more robust edge-case handling; and enhance cast direction method. - Commits: starting with da2148c1fa083dda94827d01d00ba4397054ca0e, through 67518fc53274d63f8b377c63d5e5fb758bb8116d - Testing: average surface normal – added tests to validate geometry calculations under varying conditions. - Commit: ce7e31a29e2c320fefb9a8fd3b87903ecf32d5c5 - API/tuning and typing: added tolerance to circle_bbox API and introduced type hints for better usability. - Commits: ffa1aebbf015dbad6a7e139f6ff992a67ef60f68; 08ad9a08b4351059aad1ff383d42886ea8ef79ae - Code quality, cleanup, and test maintenance: refactoring and cleanup to improve readability and stability; restoring and aligning tests for stability; documentation and comments enhancements. Major bugs fixed: - Core algorithm and correctness fixes: fixes to minor errors, intersection return values, function prototypes, recursive calls, average normal formula, near-tangent checks, and edge-case trimming to ensure correct behavior. - Commits include: 8e216d2b61dbcfe9af3e9916fde2988fd8073281; 055475619eb5fa50268a125018d838ee2e5ed655; e7d648213f839be3fe00a16cbcfbd5a8b64b452a; d4851001098161eef44900d1e25a44b262ed5671; 4edd3dac93cf30a246def20fe5973d118fe971a4; d826f94bac9e2b5e43485fa48cd68192560a08bc; 234eb767beee741f4f64101d664113235c98c185 - Winding number correctness fix: fix incorrect call in winding_number_3d. - Commit: 9917f5accd0a91d6f91eba67c55d3da4978b75e1 - Intersections limit robustness: add a stricter limit on the number of intersections to prevent pathological cases. - Commit: feb3dd377b88344dd0a3b18ed2443c4a135ece3d - Axis rotation edge case fix and trimming curve logic fixes to ensure stability under edge-case inputs. - Commits: 046200dab86f4b26aacba891565b260f1dd9dcb0; 78510463ec0a37b8ca67302312413ae220f5910a; 9533830d57f4f7ad5216acb723f24950110ead95 Overall impact and accomplishments: - Significantly improved reliability and performance of geometry processing pipelines, enabling larger batched workloads with confidence in correctness. - Enhanced API usability and developer experience through typing, tolerances, and cleaner interfaces, reducing integration time for downstream users. - Expanded test coverage and stability, leading to faster debugging, reduced bug recurrence, and easier maintenance. - Maintained momentum with code quality improvements and documentation, enabling easier future contributions. Technologies and skills demonstrated: - Geometry algorithms (robustness, edge-case handling, near-tangent checks), API design, and performance-oriented refactoring. - Test-driven development (new tests, baseline validation, test suite restoration). - Code quality focus: cleanup, comments, style fixes, const correctness and type hints. - C++-based implementation with modularization and separation of concerns (axis rotation refactor, interface improvements). Business value: - Higher throughput for data processing due to batched operations. - More reliable geometry computations reduce downstream bug fixes and integration risk. - Clearer APIs and type-safety shorten onboarding and downstream development time. - Improved stability and maintainability support faster feature development in the next cycle.
April 2025 (LLNL/axom) delivered a robust parameter-space expansion feature with tests, strengthened geometry routines around tangents and coincidences, and improved API clarity through naming consistency and _impl relocation. Added circular arc enhancement and new integration methods, plus broader bug fixes (rational patches compatibility, error handling, and merge-related issues). Established a baseline compile-ready version with extensive code cleanup, documentation, and release notes, enabling faster downstream iteration and reducing maintenance risk. Observability improvements included adding debug statements and edge-case tests to harden the codebase.
April 2025 (LLNL/axom) delivered a robust parameter-space expansion feature with tests, strengthened geometry routines around tangents and coincidences, and improved API clarity through naming consistency and _impl relocation. Added circular arc enhancement and new integration methods, plus broader bug fixes (rational patches compatibility, error handling, and merge-related issues). Established a baseline compile-ready version with extensive code cleanup, documentation, and release notes, enabling faster downstream iteration and reducing maintenance risk. Observability improvements included adding debug statements and edge-case tests to harden the codebase.
March 2025 performance summary for LLNL/axom: Delivered substantive NURBS geometry enhancements, expanded test coverage, and improvements to intersection logic, resulting in increased robustness and reliability for downstream meshing and CAD workflows. Focused on precision-tolerant algorithms, code quality, and test-driven validation to reduce defect leakage and enable stable production usage.
March 2025 performance summary for LLNL/axom: Delivered substantive NURBS geometry enhancements, expanded test coverage, and improvements to intersection logic, resulting in increased robustness and reliability for downstream meshing and CAD workflows. Focused on precision-tolerant algorithms, code quality, and test-driven validation to reduce defect leakage and enable stable production usage.
February 2025 performance summary for LLNL/axom: Delivered core geometry capabilities, improved numerical robustness, and strengthened testing and maintainability, enabling more reliable downstream geometry workflows and smoother releases. Key features delivered: - Circle Intersection Utilities: added circle-circle and circle-NURBS intersection routines with tests to improve robustness of spatial queries. - Geometry robustness and API clarity: standardized tolerances across algorithms (uniform and lower where needed); refactored winding number logic; added knot vector utilities; improved intersection checks; moved core implementations to _impl for clarity. - NURBS and API enhancements: new NURBS curve constructor and options for strict linearity; API renaming efforts to reflect intended usage. - Testing and quality: expanded test infrastructure with additional checking utilities, primitive tests, and test fixtures to keep tests concise and expressive; initial unit tests completed. - Release readiness and hygiene: updated RELEASE-NOTES, code style cleanups, removal of circular dependencies, and general correctness improvements. Major bugs fixed: - Tolerance handling: reverted and fixed tolerance usage; standardized tolerances across algorithms. - Correctness fixes: corrected swap axes behavior, hardened reverseOrientation validation, fixed polygon call path, corrected intersection returns, and improved visibility handling for untrimmed patches; fixed various boolean/coincidence issues. Impact and accomplishments: - Increased numerical reliability and geometry correctness, broader test coverage, clearer API semantics, and stronger maintainability, accelerating downstream feature delivery (e.g., disk split groundwork) and improving release confidence. Technologies/skills demonstrated: - C++ geometric algorithms, numerical tolerance engineering, test-driven development, code hygiene and refactoring, NURBS math.
February 2025 performance summary for LLNL/axom: Delivered core geometry capabilities, improved numerical robustness, and strengthened testing and maintainability, enabling more reliable downstream geometry workflows and smoother releases. Key features delivered: - Circle Intersection Utilities: added circle-circle and circle-NURBS intersection routines with tests to improve robustness of spatial queries. - Geometry robustness and API clarity: standardized tolerances across algorithms (uniform and lower where needed); refactored winding number logic; added knot vector utilities; improved intersection checks; moved core implementations to _impl for clarity. - NURBS and API enhancements: new NURBS curve constructor and options for strict linearity; API renaming efforts to reflect intended usage. - Testing and quality: expanded test infrastructure with additional checking utilities, primitive tests, and test fixtures to keep tests concise and expressive; initial unit tests completed. - Release readiness and hygiene: updated RELEASE-NOTES, code style cleanups, removal of circular dependencies, and general correctness improvements. Major bugs fixed: - Tolerance handling: reverted and fixed tolerance usage; standardized tolerances across algorithms. - Correctness fixes: corrected swap axes behavior, hardened reverseOrientation validation, fixed polygon call path, corrected intersection returns, and improved visibility handling for untrimmed patches; fixed various boolean/coincidence issues. Impact and accomplishments: - Increased numerical reliability and geometry correctness, broader test coverage, clearer API semantics, and stronger maintainability, accelerating downstream feature delivery (e.g., disk split groundwork) and improving release confidence. Technologies/skills demonstrated: - C++ geometric algorithms, numerical tolerance engineering, test-driven development, code hygiene and refactoring, NURBS math.
December 2024 monthly summary for LLNL/axom: Delivered core geometry primitives for patch evaluation and ray-patch interaction, improved build reliability, and expanded testing coverage. Addressed several stability bugs and laid groundwork for broader NURBS tooling.
December 2024 monthly summary for LLNL/axom: Delivered core geometry primitives for patch evaluation and ray-patch interaction, improved build reliability, and expanded testing coverage. Addressed several stability bugs and laid groundwork for broader NURBS tooling.
November 2024 (2024-11) monthly summary for LLNL/axom. Focused on delivering robust geometry and improving test quality, with multiple feature additions and critical bug fixes that strengthen the project’s pipeline for NURBS/Bezier computations and future maintenance.
November 2024 (2024-11) monthly summary for LLNL/axom. Focused on delivering robust geometry and improving test quality, with multiple feature additions and critical bug fixes that strengthen the project’s pipeline for NURBS/Bezier computations and future maintenance.
October 2024 — LLNL/axom: Delivered significant NURBS core improvements, stability fixes, and expanded testing, yielding higher robustness and developer clarity. Key changes include API refinements and initialization order fixes for NURBSCurve/NURBSPatch, a safety fix in the NURBSCurve constructor to prevent null-pointer dereferences and improved resizing for non-rational curves, and an expanded NURBS test suite covering 1D/2D evaluations, knot insertion, endpoint splitting, and winding-number checks. Together, these updates reduce runtime risk, strengthen test coverage, and accelerate future NURBS feature work. The work demonstrates strong C++ refactoring, test-driven development, documentation updates, and careful memory/initialization safety.
October 2024 — LLNL/axom: Delivered significant NURBS core improvements, stability fixes, and expanded testing, yielding higher robustness and developer clarity. Key changes include API refinements and initialization order fixes for NURBSCurve/NURBSPatch, a safety fix in the NURBSCurve constructor to prevent null-pointer dereferences and improved resizing for non-rational curves, and an expanded NURBS test suite covering 1D/2D evaluations, knot insertion, endpoint splitting, and winding-number checks. Together, these updates reduce runtime risk, strengthen test coverage, and accelerate future NURBS feature work. The work demonstrates strong C++ refactoring, test-driven development, documentation updates, and careful memory/initialization safety.
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