Qiskit/qiskit-ibm-runtime
Nov 2025 – Feb 2026
4 Months active
Languages Used
PythonYAMLreStructuredText
Technical Skills
Continuous IntegrationDevOpsTestingAPI developmentCode QualityDocumentation
Diego M. Rodríguez
PROFILE
Diego M. Rodríguez
Overall Statistics
Feature vs Bugs
73%Features
Repository Contributions
30Total
Bugs
3
Commits
30
Features
8
Lines of code
5,560
Activity Months4
Your Network
17 people
Work History
February 2026
5 Commits • 1 Features
Feb 1, 2026February 2026 (Qiskit/qiskit-ibm-runtime): Focused on reliability, testing, and release hygiene. Delivered a targeted bug fix for archived runtime service instances and a broad stability/quality uplift, including removal of deprecated features, testing framework improvements, and explicit type annotations. Completed release-note generation and changelogs for 0.44.1 and 0.45.1. This work reduces incident risk, improves customer-facing behavior when catalog data is unavailable, and strengthens developer workflows.
5 Commits • 1 Features
Feb 1, 2026February 2026 (Qiskit/qiskit-ibm-runtime): Focused on reliability, testing, and release hygiene. Delivered a targeted bug fix for archived runtime service instances and a broad stability/quality uplift, including removal of deprecated features, testing framework improvements, and explicit type annotations. Completed release-note generation and changelogs for 0.44.1 and 0.45.1. This work reduces incident risk, improves customer-facing behavior when catalog data is unavailable, and strengthens developer workflows.
February 2026
January 2026
15 Commits • 4 Features
Jan 1, 2026January 2026 metrics for Qiskit/qiskit-ibm-runtime: Delivered user-focused enhancements, stabilized the codebase, and strengthened release readiness. Key features include reintroducing the delete_job API with error handling and integration tests; enforcing a minimum Qiskit version of 2.x to unlock newer capabilities; ongoing CI workflow maintenance with Python version upgrades and release note updates; plus significant code quality and stability improvements across the runtime components. Major bug fix included reverting a problematic merge to a stable state. The month demonstrates solid business value through improved job management, compatibility, and maintainability.
January 2026
15 Commits • 4 Features
Jan 1, 2026January 2026 metrics for Qiskit/qiskit-ibm-runtime: Delivered user-focused enhancements, stabilized the codebase, and strengthened release readiness. Key features include reintroducing the delete_job API with error handling and integration tests; enforcing a minimum Qiskit version of 2.x to unlock newer capabilities; ongoing CI workflow maintenance with Python version upgrades and release note updates; plus significant code quality and stability improvements across the runtime components. Major bug fix included reverting a problematic merge to a stable state. The month demonstrates solid business value through improved job management, compatibility, and maintainability.
December 2025
9 Commits • 2 Features
Dec 1, 2025Month: 2025-12 — concise monthly summary for Qiskit/qiskit-ibm-runtime focusing on delivering business value, reliability, and maintainability. Key features delivered: - Release 0.44.0: job submission warnings and a fake Nighthawk backend for circuit optimization, including release notes and version bumps (commit: 4df6471790a68ab87a40b66c1b9e0cae7c95b9a3). Major bugs fixed: - Test stability: corrected for_loop test arguments to exercise proper ranges (commits: e4bf4146bc98b8e27214ec13b3466a7422206b65 and 6b40e737a160d08d9f4dcc517edc20ab81ae17b6). Overall impact and accomplishments: - Stabilized release readiness and release hygiene with 0.44.0, reducing potential customer impact from invalid loop tests and improving testing coverage. - Strengthened code health through comprehensive tooling upgrades and linting, lowering maintenance costs and speeding iteration cycles. Technologies/skills demonstrated: - Python typing for 3.10, centralized mypy configuration, removal of type ignores, and Ruff integration; pyproject.toml-based configuration; release engineering; test design and maintenance.
9 Commits • 2 Features
Dec 1, 2025Month: 2025-12 — concise monthly summary for Qiskit/qiskit-ibm-runtime focusing on delivering business value, reliability, and maintainability. Key features delivered: - Release 0.44.0: job submission warnings and a fake Nighthawk backend for circuit optimization, including release notes and version bumps (commit: 4df6471790a68ab87a40b66c1b9e0cae7c95b9a3). Major bugs fixed: - Test stability: corrected for_loop test arguments to exercise proper ranges (commits: e4bf4146bc98b8e27214ec13b3466a7422206b65 and 6b40e737a160d08d9f4dcc517edc20ab81ae17b6). Overall impact and accomplishments: - Stabilized release readiness and release hygiene with 0.44.0, reducing potential customer impact from invalid loop tests and improving testing coverage. - Strengthened code health through comprehensive tooling upgrades and linting, lowering maintenance costs and speeding iteration cycles. Technologies/skills demonstrated: - Python typing for 3.10, centralized mypy configuration, removal of type ignores, and Ruff integration; pyproject.toml-based configuration; release engineering; test design and maintenance.
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025Month: 2025-11. Focused on test suite compatibility for Qiskit/qiskit-ibm-runtime by upgrading integration tests to Python 3.10 to align with latest Python features and keep pace with Python ecosystem changes. This effort reduces risk during Python 3.10 adoption across runtime integrations and improves future maintainability. No major bugs fixed this month. Overall impact: improved CI stability, broader Python version support, and clearer upgrade path for downstream users. Technologies/skills demonstrated include Python 3.10 compatibility, CI/test maintenance, and contribution alignment with project standards.
November 2025
1 Commits • 1 Features
Nov 1, 2025Month: 2025-11. Focused on test suite compatibility for Qiskit/qiskit-ibm-runtime by upgrading integration tests to Python 3.10 to align with latest Python features and keep pace with Python ecosystem changes. This effort reduces risk during Python 3.10 adoption across runtime integrations and improves future maintainability. No major bugs fixed this month. Overall impact: improved CI stability, broader Python version support, and clearer upgrade path for downstream users. Technologies/skills demonstrated include Python 3.10 compatibility, CI/test maintenance, and contribution alignment with project standards.
Activity
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Quality Metrics
Correctness96.8%
Maintainability93.4%
Architecture93.4%
Performance94.6%
AI Usage24.0%
Skills & Technologies
Programming Languages
PythonYAMLreStructuredText
Technical Skills
API developmentAPI integrationAPI testingCode QualityCode Quality ImprovementCode RefactoringContinuous IntegrationDevOpsDocumentationGitHub ActionsLintingPythonPython DevelopmentSoftware DevelopmentStatic Analysis
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