
Jens-Otto Larsen contributed to the navikt/fp-autotest and related repositories by building and stabilizing automated test suites, integrating new APIs, and refining backend processes. He focused on aligning test data with evolving business rules, improving CI reliability, and ensuring accurate API contract adherence. Using Java, YAML, and JavaScript, Jens-Otto enhanced test automation, backend development, and configuration management, addressing issues such as race conditions, log context consistency, and environment variable alignment. His work included integrating the Inntektskomponenten v2 and Kelvin APIs, refining income request handling, and improving code quality, resulting in more reliable deployments and maintainable code across the platform.
February 2026: Focused on enabling Kelvin API integration in the FP autotest environment by configuring Kelvin properties via environment variables. This work lays the foundation for API-driven test orchestration and environment parity with Kelvin-enabled configurations.
February 2026: Focused on enabling Kelvin API integration in the FP autotest environment by configuring Kelvin properties via environment variables. This work lays the foundation for API-driven test orchestration and environment parity with Kelvin-enabled configurations.
January 2026 monthly summary for navikt/fp-autotest: Delivered two focused changes with clear business impact. Key features and fixes include updating income request processing context to DRIFTER role and fixing invalid paper application case number validation to prevent empty data. These changes improve data integrity and processing accuracy, reducing risk of misrouting and invalid submissions. Overall impact includes improved data quality, clearer role semantics for income processing, and better maintainability. Technologies/skills demonstrated include role-based context propagation, client updates, and concise commit hygiene.
January 2026 monthly summary for navikt/fp-autotest: Delivered two focused changes with clear business impact. Key features and fixes include updating income request processing context to DRIFTER role and fixing invalid paper application case number validation to prevent empty data. These changes improve data integrity and processing accuracy, reducing risk of misrouting and invalid submissions. Overall impact includes improved data quality, clearer role semantics for income processing, and better maintainability. Technologies/skills demonstrated include role-based context propagation, client updates, and concise commit hygiene.
Month: 2025-11 — This month focused on strengthening code quality, API reliability, and developer experience across two repositories. Key outcomes include improvements to SonarQube integration for fp-frontend, targeted fixes to API documentation routing for fpsak in autotest, and corrections to JSON serialization for enums. These changes enhance maintainability, reduce runtime errors, and improve visibility into code quality and API behavior, delivering tangible business value in faster issue detection, accurate documentation, and more predictable deployments.
Month: 2025-11 — This month focused on strengthening code quality, API reliability, and developer experience across two repositories. Key outcomes include improvements to SonarQube integration for fp-frontend, targeted fixes to API documentation routing for fpsak in autotest, and corrections to JSON serialization for enums. These changes enhance maintainability, reduce runtime errors, and improve visibility into code quality and API behavior, delivering tangible business value in faster issue detection, accurate documentation, and more predictable deployments.
September 2025 monthly summary for navikt/fp-autotest focused on delivering and stabilizing the Inntektskomponenten v2 integration, aligning service endpoints, and fixing related path issues to improve test automation reliability and data accuracy for payroll income processing.
September 2025 monthly summary for navikt/fp-autotest focused on delivering and stabilizing the Inntektskomponenten v2 integration, aligning service endpoints, and fixing related path issues to improve test automation reliability and data accuracy for payroll income processing.
June 2025 monthly summary for navikt/fp-autotest: Focused on stabilizing the test suite for 2025 sickness benefit calculations by aligning test data with updated regulations and fixing flaky scenarios. Delivered deterministic tests and clarified coverage around 2025 benefits rules, enabling safer code changes and CI reliability.
June 2025 monthly summary for navikt/fp-autotest: Focused on stabilizing the test suite for 2025 sickness benefit calculations by aligning test data with updated regulations and fixing flaky scenarios. Delivered deterministic tests and clarified coverage around 2025 benefits rules, enabling safer code changes and CI reliability.
May 2025: API stability and contract alignment for case number retrieval: updated FordelKlient to use saksnummer() in line with contract changes and restored a stable soknad-api version to ensure reliable data retrieval and compatibility. Attachment submission fix: MottakKlient validated attachments using the correct VedleggInnsendingType enum, preventing processing errors. Test infrastructure and coverage: enhanced autotest workflow, added custom Jackson ObjectMapper usage, strengthened log leak checks, and broadened LOS/test scenarios across roles and employment cases. Overall, these changes improved data reliability, reduced processing failures, and expanded end-to-end testing coverage, enabling faster and safer deployments.
May 2025: API stability and contract alignment for case number retrieval: updated FordelKlient to use saksnummer() in line with contract changes and restored a stable soknad-api version to ensure reliable data retrieval and compatibility. Attachment submission fix: MottakKlient validated attachments using the correct VedleggInnsendingType enum, preventing processing errors. Test infrastructure and coverage: enhanced autotest workflow, added custom Jackson ObjectMapper usage, strengthened log leak checks, and broadened LOS/test scenarios across roles and employment cases. Overall, these changes improved data reliability, reduced processing failures, and expanded end-to-end testing coverage, enabling faster and safer deployments.
Summary for 2025-04: Focused on strengthening PDP input handling in the navikt/fp-sak repository by fixing tests to validate actor IDs (aktørid) rather than case numbers (saksnummer) in the PDP request builder. This bug fix improves test accuracy, prevents misrouting of PDP inputs, and raises CI reliability. Tech debt remains manageable with a clear commit (TFP-5972) and improved test coverage for actor-id scenarios.
Summary for 2025-04: Focused on strengthening PDP input handling in the navikt/fp-sak repository by fixing tests to validate actor IDs (aktørid) rather than case numbers (saksnummer) in the PDP request builder. This bug fix improves test accuracy, prevents misrouting of PDP inputs, and raises CI reliability. Tech debt remains manageable with a clear commit (TFP-5972) and improved test coverage for actor-id scenarios.
Concise monthly summary for 2025-03 focusing on business value and technical achievements for the fp-autotest repository. The team concentrated on stabilizing the automated test suite to reduce flaky runs and improve CI feedback, enabling faster and safer releases. Key achievements during the month include stabilizing tests around weekend date boundaries and conditional logic checks for two-close benefit scenarios, ensuring reliable test results across edge cases. Two targeted commits contributed to these improvements: - 49f5d1d3edc88fc4747434f7d5ee210ff4360d58: Helgesikre nye tester - 1ffa9b375977da62514c274585bc54df9480f1c9: Legg til betinget VKY ved 2 tette These changes collectively reduce test flakiness, improve coverage of critical edge cases, and strengthen the team’s ability to validate changes before production.
Concise monthly summary for 2025-03 focusing on business value and technical achievements for the fp-autotest repository. The team concentrated on stabilizing the automated test suite to reduce flaky runs and improve CI feedback, enabling faster and safer releases. Key achievements during the month include stabilizing tests around weekend date boundaries and conditional logic checks for two-close benefit scenarios, ensuring reliable test results across edge cases. Two targeted commits contributed to these improvements: - 49f5d1d3edc88fc4747434f7d5ee210ff4360d58: Helgesikre nye tester - 1ffa9b375977da62514c274585bc54df9480f1c9: Legg til betinget VKY ved 2 tette These changes collectively reduce test flakiness, improve coverage of critical edge cases, and strengthen the team’s ability to validate changes before production.
February 2025: Stabilized the Fodsel test to prevent race conditions in asynchronous registration data retrieval. Introduced a controlled 5-second delay and robust interruption handling to ensure data availability before subsequent actions, reducing test flakiness and improving CI reliability.
February 2025: Stabilized the Fodsel test to prevent race conditions in asynchronous registration data retrieval. Introduced a controlled 5-second delay and robust interruption handling to ensure data availability before subsequent actions, reducing test flakiness and improving CI reliability.
Month 2024-12 highlights: Stabilized two JVM-based repositories by resolving log context case-number handling, removing outdated pipeline configurations, and simplifying task filtering. Key outcomes include consistent case-number logging in FP module, alignment with fp-felles configurations, and reduced duplication in ProsessTaskClient filtering. These changes improve reliability, accountability, and automation in CI/CD and task processing, delivering measurable business value through faster troubleshooting, fewer misconfigurations, and more maintainable code.
Month 2024-12 highlights: Stabilized two JVM-based repositories by resolving log context case-number handling, removing outdated pipeline configurations, and simplifying task filtering. Key outcomes include consistent case-number logging in FP module, alignment with fp-felles configurations, and reduced duplication in ProsessTaskClient filtering. These changes improve reliability, accountability, and automation in CI/CD and task processing, delivering measurable business value through faster troubleshooting, fewer misconfigurations, and more maintainable code.

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