HHS · no agency ID · record R0628

AI DevOps - Improving Development and CI/CD Operations

Department of Health and Human Services · HHS/AHRQ/CFACT

Overview

Development stage: In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Information Technology
Operational functions: Software development assistance Derived by keyword rules; see methodology

Problem the AI is intended to solve

Introducing AI to DevOps can identify and reduce errors, shorten release cycles, and empower development teams with data-driven insights, resulting in faster continuous integration and shorter development lifecycles.

Expected benefits

Integrating AI into DevOps pipeline can boost efficiency, enhance code quality, and accelerate development cycle. AI code review uses artificial intelligence algorithms to analyze source code for potential issues. Initial integration of AI code review can assist in detecting bugs, security vulnerabilities, performance bottlenecks, and deviations from coding standards.

System outputs

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): Not reported
Custom-developed code: Not reported
Public source code: Not reported

Sourcing

How it was built: Not reported
Vendor (as reported): Pingwind
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
Demographic features: Not reported
Training and evaluation data: Not reported
Federal Data Catalog: Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported