TREAS · 21 · record R2756

Software Code Generation

Department of the Treasury · Office of the Comptroller of the Currency (OCC)

Overview

Development stage: PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: The code generation tool assists developers by producing draft code snippets that are fully reviewed, tested, and validated by human engineers before use, ensuring it does not autonomously influence systems or services. Because its output does not make decisions affecting rights, benefits, access, or critical government functions, it does not meet the threshold for a High-Impact AI use case.
Start date: 2025-07-01 (day precision)Source: 7/1/2025
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

Developing software code and producing the associated documentation requires significant time and technical expertise. Routine coding tasks, boilerplate creation, and documentation drafting can slow down development cycles and divert staff from higher-value design and analysis work. The AI is intended to assist by generating code snippets, templates, and initial documentation drafts, reducing manual effort and accelerating development processes.

Expected benefits

The AI increases development efficiency by automating repetitive coding tasks and improving documentation consistency. This enables technical staff to focus more on systems design, security review, and integration work, supporting the agency’s mission through faster delivery of high-quality technical solutions. The public benefits indirectly through enhanced operational efficiency, improved reliability of supporting systems, and reduced development backlogs that contribute to more effective regulatory and supervisory activities.

System outputs

The AI will generate software code aligned to predefined requirements, along with code comments, technical documentation, and usage explanations. Outputs may include function templates, structured code blocks, API documentation, configuration examples, or troubleshooting guidance. These materials serve as development aids, with final validation, testing, and implementation remaining the responsibility of agency technical staff.

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: Yes
Public source code: Not reported

Sourcing

How it was built: Developed in-houseSource: b) Developed in-house
Vendor (as reported): Not reported
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: No
Privacy Impact Assessment: Not reported
Authorization to Operate: No
Demographic features: k) None of the above
Training and evaluation data: No agency data is used to train the model
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