
Becky Smith engineered robust backend systems for the OpenSAFELY core platform, focusing on modular architecture, API reliability, and scalable task orchestration across repositories such as opensafely-core/job-runner. She implemented OpenAPI-driven contract validation, enhanced CLI modularity, and centralized job creation workflows, using Python, Django, and SQLAlchemy to ensure maintainable and testable code. Her work included integrating telemetry and observability with OpenTelemetry, automating documentation and CI pipelines, and refining error handling for safer deployments. By improving parameter parsing, database resilience, and developer tooling, Becky delivered solutions that reduced operational risk, accelerated release cycles, and supported secure, efficient data processing at scale.

October 2025 monthly summary highlighting key business value and technical achievements across the OpenSAFELY repositories. Focus areas include RAP API integration with telemetry and robust error handling, status service improvements, centralization of job creation, enhanced observability, and deployment/docs enhancements that improve reliability and developer experience.
October 2025 monthly summary highlighting key business value and technical achievements across the OpenSAFELY repositories. Focus areas include RAP API integration with telemetry and robust error handling, status service improvements, centralization of job creation, enhanced observability, and deployment/docs enhancements that improve reliability and developer experience.
September 2025 focused on strengthening RAP API reliability, observability, and developer experience across the OpenSafely core job-runner and job-server repositories. Key features and improvements delivered include idempotent RAP create handling with expanded status semantics, enhanced API documentation and tests, and improved local development and telemetry. Cross-repo work aligned API behavior, UI status presentation, and test coverage to reinforce safe job orchestration and faster developer onboarding.
September 2025 focused on strengthening RAP API reliability, observability, and developer experience across the OpenSafely core job-runner and job-server repositories. Key features and improvements delivered include idempotent RAP create handling with expanded status semantics, enhanced API documentation and tests, and improved local development and telemetry. Cross-repo work aligned API behavior, UI status presentation, and test coverage to reinforce safe job orchestration and faster developer onboarding.
Monthly summary for 2025-08: - Key features delivered: • OpenAPI validation integration with Schemathesis tests for opensafely-core/job-runner, enabling contract validation and regression protection across API specs. • API docs coverage automation, including regenerating docs, reusable API spec components, and CI checks to ensure docs stay current. • Cancel RAP API endpoint implemented with a full request/response schema, validation, and logging; RAP Create endpoint implemented with URL/stub view, validator dataclass, backend validation, and end-to-end tests; API spec updates and tagging to reflect changes. • OpenAPI integration for cancel endpoint, including loading specs, tagging, and examples; enhanced jsonschema validation and shared components for API views. • RAP/create endpoint enhancements: alignment of create request body with job API, CreateRequest usability, and end-to-end tests for happy path and error cases; updated API tests data for 201 case. • Improved API tooling and docs workflow for RAP: Redoc setup, npm-based generation, and CI-driven validation of generated docs. • Monitoring and reliability for RAP: minutely RAP API status check, configurable Sentry monitoring, and refined thresholds for alerts; improved env handling with defaults for RAP settings. • Additional backend quality improvements: expanded DB retry coverage for base DBAPIError, ICD-10 regex extension for X-padded codes, and code readability cleanups. - Major bugs fixed: • OTEL error handling and API spec cleanup, including removal of a problematic 500 API spec entry. • Backend status endpoint cleanup to unify status reporting across backends. • Typo fixes and small comment cleanups to improve clarity and maintainability. • dotenv_sample alignment for client tokens and environment variable defaults to prevent integration issues. - Overall impact and accomplishments: • Strengthened API reliability, test coverage, and contract integrity; reduced regression risk through automated spec testing and docs validation. • Improved operational resilience and observability with minutely monitoring, Sentry integration, and robust error handling. • Streamlined developer experience and onboarding through better docs tooling, reusable API components, and consistent API naming. - Technologies/skills demonstrated: • OpenAPI, Schemathesis, jsonschema validation, pytest, and Docker-based testing. • Documentation tooling with Redoc, npm-based docs generation, and CI workflow checks. • Observability and reliability tooling (Sentry), crontab-based scheduling, and environment configuration practices.
Monthly summary for 2025-08: - Key features delivered: • OpenAPI validation integration with Schemathesis tests for opensafely-core/job-runner, enabling contract validation and regression protection across API specs. • API docs coverage automation, including regenerating docs, reusable API spec components, and CI checks to ensure docs stay current. • Cancel RAP API endpoint implemented with a full request/response schema, validation, and logging; RAP Create endpoint implemented with URL/stub view, validator dataclass, backend validation, and end-to-end tests; API spec updates and tagging to reflect changes. • OpenAPI integration for cancel endpoint, including loading specs, tagging, and examples; enhanced jsonschema validation and shared components for API views. • RAP/create endpoint enhancements: alignment of create request body with job API, CreateRequest usability, and end-to-end tests for happy path and error cases; updated API tests data for 201 case. • Improved API tooling and docs workflow for RAP: Redoc setup, npm-based generation, and CI-driven validation of generated docs. • Monitoring and reliability for RAP: minutely RAP API status check, configurable Sentry monitoring, and refined thresholds for alerts; improved env handling with defaults for RAP settings. • Additional backend quality improvements: expanded DB retry coverage for base DBAPIError, ICD-10 regex extension for X-padded codes, and code readability cleanups. - Major bugs fixed: • OTEL error handling and API spec cleanup, including removal of a problematic 500 API spec entry. • Backend status endpoint cleanup to unify status reporting across backends. • Typo fixes and small comment cleanups to improve clarity and maintainability. • dotenv_sample alignment for client tokens and environment variable defaults to prevent integration issues. - Overall impact and accomplishments: • Strengthened API reliability, test coverage, and contract integrity; reduced regression risk through automated spec testing and docs validation. • Improved operational resilience and observability with minutely monitoring, Sentry integration, and robust error handling. • Streamlined developer experience and onboarding through better docs tooling, reusable API components, and consistent API naming. - Technologies/skills demonstrated: • OpenAPI, Schemathesis, jsonschema validation, pytest, and Docker-based testing. • Documentation tooling with Redoc, npm-based docs generation, and CI workflow checks. • Observability and reliability tooling (Sentry), crontab-based scheduling, and environment configuration practices.
July 2025: Delivered measurable business value across documentation, core libs, and tooling. Key features delivered include YAML-based configuration for Case-Control Studies, improved parameter handling with robust docs and CLI support, and significant project-structure/CLI improvements enabling faster onboarding and maintainability. Backend/status API and token-based auth refactor improved API reliability and security, while targeted stability fixes (Airlock Playwright downgrade) reduced flaky tests. Overall impact: easier configuration, stronger error handling, faster CI feedback, and a cleaner codebase with better developer experience.
July 2025: Delivered measurable business value across documentation, core libs, and tooling. Key features delivered include YAML-based configuration for Case-Control Studies, improved parameter handling with robust docs and CLI support, and significant project-structure/CLI improvements enabling faster onboarding and maintainability. Backend/status API and token-based auth refactor improved API reliability and security, while targeted stability fixes (Airlock Playwright downgrade) reduced flaky tests. Overall impact: easier configuration, stronger error handling, faster CI feedback, and a cleaner codebase with better developer experience.
June 2025 focused on strengthening data governance, improving backend observability, and accelerating release workflows, while delivering tooling enhancements to support scalable operations and future components. Key security and automation work sets a solid foundation for reliable data access, faster releases, and demand-driven feature delivery across the OpenSafely ecosystem.
June 2025 focused on strengthening data governance, improving backend observability, and accelerating release workflows, while delivering tooling enhancements to support scalable operations and future components. Key security and automation work sets a solid foundation for reliable data access, faster releases, and demand-driven feature delivery across the OpenSafely ecosystem.
Month: 2025-05 Overview: In May 2025, I delivered meaningful business and technical improvements across multiple OpenSafely core repositories, focusing on modular architecture, reliability, observability, and scalable task orchestration. The work improves maintainability, reduces operational risk, and enables faster developer iteration while delivering tangible user-facing and automation improvements. Key features delivered (highlights by repository): - CLI Modularization and Command Updates in opensafely-core/job-runner: Introduced agent/controller CLI architecture with wrapper modules and updated just commands to improve modularity and testability. Related commits include 9331853ae7be912411a2c13a7cbc5070d9b9cbe4, 7b41434189d37a2e797c9df363a616168c8a7180, and dc4e930b6c1da1e09eccbf42a8e2da5d51950a02. - Remove deprecated CLI commands and coverage cleanup in opensafely-core/job-runner: Eliminated manifest/kill-job/retry-job CLI commands and cleaned up coverage tracking to reduce surface area and noise. Commits: d843203252de7ce5fea02b69459377428c2f16b8, 07ab9e1f8c231bfd49b5839a6984784340707ddd, b1d3033e35c6b3881c4bda0153c5e3ddb37612d3, 68f48d1b0c6de2911280330d92f5067d36928629. - Prepare-for-Reboot workflow enhancements and tests in opensafely-core/job-runner: Improved the Prepare-for-Reboot workflow to handle WAITING_ON_REBOOT in paused mode, require backend pause, create cancel_job tasks, and add status options; accompanying tests were added (commits: 64dafbfe64d08a45a8a3b7c0cf6e6a2c78879846, 6b70e09aec6be5bac89d2216f72f40d98598cd4e, 61a8e3e5be59bc0ae076f4af31b167ac8fb25be9, 41f4dcda396272ffb45dbc3813e3364b9b8700d2). - Task/Job API enhancements and task metadata propagation in multiple repos: Added Task/AgentTask attributes, JSON-serializable Task model, and endpoint support for active tasks; refactored TaskResults to simple dict tooling and propagated task_id/timestamps through APIs and controller views. Key commits include 830e0fb769a2ad2f1b54a8793ea3e0a0aa5a78c1, 138b452dd495c410fd0c56df28f734b5ef6422f8, f2d74816eba25ca7cb0732e2279fc773c6371eb8, 87320c23bda06caca574d3d8f5c9015fd954c00d, 7030ba46c920b0850da70836909d7c1911d5b898. - Observability, tracing, and testing improvements: Integrated OpenTelemetry tracing for Django apps, implemented output redaction, added trace attribute type tests, and expanded test coverage with live_server integration and test utilities. Notable commits include be9ca3d756be3f396d4f27fa0d3326b9df633304, a266703588e04079366d9b25fc134427e5cf4467, 188c28fdce4131db4a73f2eb4a35a3ad8b002569, 8189cb45c926220ff5186a879ca2ba8a2cce2949, 411a8feac24dd217dceeb656792e3e1767daa46d, 86fd865d1abcc9ff709e6cbf03fcc58e70e3429c, f41537de1cbda5f95f5f84b74d59f2240a3067c3. - Dependency stabilization and developer tooling: Pinning pip to 25.0.1 to stabilize environments and to mitigate known tooling issues; added django bash completion in Docker and centralized logging in manage.py. Commits: a2977f1a09ad40973f088e27ca72d0653f68acf6, be9ca3d756be3f396d4f27fa0d3326b9df633304, 2235c96408cb9af852c5051aa71221e346b2eec6, 96ace3262ce0806f1323371c17d829a27b5a351d. - Documentation, diagrams, and developer experience: Updated architecture/state diagrams, API endpoint descriptions, and developer docs; added management commands and CLI enhancements to improve operator experience. Relevant commits include b709f318d56561db62142cf268a4fee46c17146c, 718c58dbf1fc5ecfb87cbc8590f38bfa209a53eb, 4de5446a538e78b5106e58c738610159f1532170, 4c71b682513ede26e48f3d45ac2e12e77aa2381b, 73dace4938a772d89392d8f78452ed0e45ed42fd, b7d24b27204490d748a7be20fb01c150a19ee572. Key achievements (top 5): - Delivered modular CLI architecture for job-runner, enabling agent/controller separation and more testable wrappers (commits: 9331853ae7be..., 7b41434189d3..., dc4e930b6c1d...). - Streamlined surface area by removing deprecated CLI commands and cleaning coverage metrics, reducing maintenance overhead (commits: d8432032..., 07ab9e1f..., b1d3033e3..., 68f48d1b...). - Strengthened Prepare-for-Reboot and related workflows with robust pause/WAITING_ON_REBOOT handling, cancel_job task creation, and status options (commits: 64dafbfe..., 6b70e09a..., 61a8e3e5..., 41f4dcda...). - Modernized Task/Job API with JSON-serializable Task, task_id propagation, and timestamp_n s flows across agent/controller, enabling reliable end-to-end tracking (commits: 830e0fb7..., 138b452d..., f2d74816..., 87320c23..., 7030ba46...). - Elevated observability and reliability with OpenTelemetry instrumentation, redacted tracing outputs, and hardened test/integration tooling (commits: be9ca3d7..., a2667035..., 188c28fd..., 8189cb45..., f43b9b65...).
Month: 2025-05 Overview: In May 2025, I delivered meaningful business and technical improvements across multiple OpenSafely core repositories, focusing on modular architecture, reliability, observability, and scalable task orchestration. The work improves maintainability, reduces operational risk, and enables faster developer iteration while delivering tangible user-facing and automation improvements. Key features delivered (highlights by repository): - CLI Modularization and Command Updates in opensafely-core/job-runner: Introduced agent/controller CLI architecture with wrapper modules and updated just commands to improve modularity and testability. Related commits include 9331853ae7be912411a2c13a7cbc5070d9b9cbe4, 7b41434189d37a2e797c9df363a616168c8a7180, and dc4e930b6c1da1e09eccbf42a8e2da5d51950a02. - Remove deprecated CLI commands and coverage cleanup in opensafely-core/job-runner: Eliminated manifest/kill-job/retry-job CLI commands and cleaned up coverage tracking to reduce surface area and noise. Commits: d843203252de7ce5fea02b69459377428c2f16b8, 07ab9e1f8c231bfd49b5839a6984784340707ddd, b1d3033e35c6b3881c4bda0153c5e3ddb37612d3, 68f48d1b0c6de2911280330d92f5067d36928629. - Prepare-for-Reboot workflow enhancements and tests in opensafely-core/job-runner: Improved the Prepare-for-Reboot workflow to handle WAITING_ON_REBOOT in paused mode, require backend pause, create cancel_job tasks, and add status options; accompanying tests were added (commits: 64dafbfe64d08a45a8a3b7c0cf6e6a2c78879846, 6b70e09aec6be5bac89d2216f72f40d98598cd4e, 61a8e3e5be59bc0ae076f4af31b167ac8fb25be9, 41f4dcda396272ffb45dbc3813e3364b9b8700d2). - Task/Job API enhancements and task metadata propagation in multiple repos: Added Task/AgentTask attributes, JSON-serializable Task model, and endpoint support for active tasks; refactored TaskResults to simple dict tooling and propagated task_id/timestamps through APIs and controller views. Key commits include 830e0fb769a2ad2f1b54a8793ea3e0a0aa5a78c1, 138b452dd495c410fd0c56df28f734b5ef6422f8, f2d74816eba25ca7cb0732e2279fc773c6371eb8, 87320c23bda06caca574d3d8f5c9015fd954c00d, 7030ba46c920b0850da70836909d7c1911d5b898. - Observability, tracing, and testing improvements: Integrated OpenTelemetry tracing for Django apps, implemented output redaction, added trace attribute type tests, and expanded test coverage with live_server integration and test utilities. Notable commits include be9ca3d756be3f396d4f27fa0d3326b9df633304, a266703588e04079366d9b25fc134427e5cf4467, 188c28fdce4131db4a73f2eb4a35a3ad8b002569, 8189cb45c926220ff5186a879ca2ba8a2cce2949, 411a8feac24dd217dceeb656792e3e1767daa46d, 86fd865d1abcc9ff709e6cbf03fcc58e70e3429c, f41537de1cbda5f95f5f84b74d59f2240a3067c3. - Dependency stabilization and developer tooling: Pinning pip to 25.0.1 to stabilize environments and to mitigate known tooling issues; added django bash completion in Docker and centralized logging in manage.py. Commits: a2977f1a09ad40973f088e27ca72d0653f68acf6, be9ca3d756be3f396d4f27fa0d3326b9df633304, 2235c96408cb9af852c5051aa71221e346b2eec6, 96ace3262ce0806f1323371c17d829a27b5a351d. - Documentation, diagrams, and developer experience: Updated architecture/state diagrams, API endpoint descriptions, and developer docs; added management commands and CLI enhancements to improve operator experience. Relevant commits include b709f318d56561db62142cf268a4fee46c17146c, 718c58dbf1fc5ecfb87cbc8590f38bfa209a53eb, 4de5446a538e78b5106e58c738610159f1532170, 4c71b682513ede26e48f3d45ac2e12e77aa2381b, 73dace4938a772d89392d8f78452ed0e45ed42fd, b7d24b27204490d748a7be20fb01c150a19ee572. Key achievements (top 5): - Delivered modular CLI architecture for job-runner, enabling agent/controller separation and more testable wrappers (commits: 9331853ae7be..., 7b41434189d3..., dc4e930b6c1d...). - Streamlined surface area by removing deprecated CLI commands and cleaning coverage metrics, reducing maintenance overhead (commits: d8432032..., 07ab9e1f..., b1d3033e3..., 68f48d1b...). - Strengthened Prepare-for-Reboot and related workflows with robust pause/WAITING_ON_REBOOT handling, cancel_job task creation, and status options (commits: 64dafbfe..., 6b70e09a..., 61a8e3e5..., 41f4dcda...). - Modernized Task/Job API with JSON-serializable Task, task_id propagation, and timestamp_n s flows across agent/controller, enabling reliable end-to-end tracking (commits: 830e0fb7..., 138b452d..., f2d74816..., 87320c23..., 7030ba46...). - Elevated observability and reliability with OpenTelemetry instrumentation, redacted tracing outputs, and hardened test/integration tooling (commits: be9ca3d7..., a2667035..., 188c28fd..., 8189cb45..., f43b9b65...).
April 2025 — Opensafely core platform delivered substantial reliability, scalability, and developer workflow improvements across job-runner and airlock. Highlights include expanded test coverage with 100% coverage achieved for core job-runner paths, backend-driven architecture enhancements, and workflow automation that improves deployment safety and observability. Notable work spans test modernization, API cleanup with a shift to the Task API, and per-backend configuration with multi-backend support. In airlock, state diagram generation was modularized as a Django management command and test stability was improved through a filesystem-based SQLite DB with WAL. These outcomes reduce risk, accelerate release cadence, and enable scalable, backend-aware task orchestration with clearer tracing and error handling.
April 2025 — Opensafely core platform delivered substantial reliability, scalability, and developer workflow improvements across job-runner and airlock. Highlights include expanded test coverage with 100% coverage achieved for core job-runner paths, backend-driven architecture enhancements, and workflow automation that improves deployment safety and observability. Notable work spans test modernization, API cleanup with a shift to the Task API, and per-backend configuration with multi-backend support. In airlock, state diagram generation was modularized as a Django management command and test stability was improved through a filesystem-based SQLite DB with WAL. These outcomes reduce risk, accelerate release cadence, and enable scalable, backend-aware task orchestration with clearer tracing and error handling.
March 2025 performance summary focusing on delivering business value through safer file-group operations, policy-driven governance, expanded documentation, and stronger testing. Achievements span eight repos, with emphasis on airlock workflows, UI/UX polish, and reliable CI/CD integrations.
March 2025 performance summary focusing on delivering business value through safer file-group operations, policy-driven governance, expanded documentation, and stronger testing. Achievements span eight repos, with emphasis on airlock workflows, UI/UX polish, and reliable CI/CD integrations.
February 2025: Focused on stabilizing the file upload and release workflow, boosting reliability, observability, and developer efficiency across opensafely-core/airlock and related components. Achieved end-to-end improvements for uploads, resilience, and automated task processing, while strengthening testing and documentation to support scale.
February 2025: Focused on stabilizing the file upload and release workflow, boosting reliability, observability, and developer efficiency across opensafely-core/airlock and related components. Achieved end-to-end improvements for uploads, resilience, and automated task processing, while strengthening testing and documentation to support scale.
January 2025 performance highlights: Delivered substantial reliability and maintainability improvements across four repositories (bennettbot, ehrql, airlock, job-server). Implemented automated dependency management, modernized test suites, enhanced data generation and boolean casting, and strengthened release workflows. These changes reduce CI build fragility, improve reproducibility, and enable safer, faster releases while elevating code quality across the codebase.
January 2025 performance highlights: Delivered substantial reliability and maintainability improvements across four repositories (bennettbot, ehrql, airlock, job-server). Implemented automated dependency management, modernized test suites, enhanced data generation and boolean casting, and strengthened release workflows. These changes reduce CI build fragility, improve reproducibility, and enable safer, faster releases while elevating code quality across the codebase.
December 2024 monthly summary highlighting key features delivered, major bugs fixed, overall impact, and technologies demonstrated across the OpenSAFELY ecosystem. The work focused on improving onboarding and developer efficiency, stabilizing tests, and reducing maintenance through automation and modernization of dependencies.
December 2024 monthly summary highlighting key features delivered, major bugs fixed, overall impact, and technologies demonstrated across the OpenSAFELY ecosystem. The work focused on improving onboarding and developer efficiency, stabilizing tests, and reducing maintenance through automation and modernization of dependencies.
Month: 2024-11 — Concise monthly summary focusing on business value and technical achievements across airlock and ehrql repos. Delivered observability improvements, debugging tooling, and data-generation enhancements with measurable impact on deployment efficiency, issue diagnosis, and data pipeline reliability.
Month: 2024-11 — Concise monthly summary focusing on business value and technical achievements across airlock and ehrql repos. Delivered observability improvements, debugging tooling, and data-generation enhancements with measurable impact on deployment efficiency, issue diagnosis, and data pipeline reliability.
October 2024 monthly summary for opensafely-core/ehrql focusing on clarifying and stabilizing the experimental dummy data workflow. Delivered API naming alignment, documentation updates, and safety warnings for experimental features. These changes improve clarity, reduce user confusion, and support safer experimentation pipelines.
October 2024 monthly summary for opensafely-core/ehrql focusing on clarifying and stabilizing the experimental dummy data workflow. Delivered API naming alignment, documentation updates, and safety warnings for experimental features. These changes improve clarity, reduce user confusion, and support safer experimentation pipelines.
Overview of all repositories you've contributed to across your timeline