TREAS · TREAS-IRS-117 · record R2827

Modular Code Assistant (Explain & Refactor Small Methods) for Automation Test Application Development

Department of the Treasury · Internal Revenue Service (IRS)

Overview

Development stage: DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: The output is not presumed to be high-impact and is not used as the principal basis for significant decisions/actions
Start date: 2025-09-03 (day precision)Source: 9/3/2025
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Information Technology
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Assist test automation team by explaining or suggesting improvements to individual Java methods or classes below 100 lines. Ideal for improving understanding and accelerating onboarding to automation test as a new software engineer in application development.

Expected benefits

The objective is to implement a secure, localized AI chatbot leveraging Retrieval-Augmented Generation (RAG) to enhance test automation productivity.

System outputs

Answer detailed project-specific queries. Interpret and simplify complex automation test reports. Potentially aid in troubleshooting and debugging automation scripts.

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: No
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: All the automation test data is synthetically generated in programming/development phase for testing the APIs request is successful in lower environment (SBX/DEV) only.
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