DOE · DOE-567 · record R3422

Tabnine AI Pair Programmer

Department of Energy · KCNSC - Kansas City National Security Campus (KCFO)

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: AI provides structured recommendations only; human reviewers retain authority for evaluation decisions
Start date: 2025-07-16 (day precision)Source: 2025-07-16T00:00:00
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

Accelerate and simplify software development across our entire site. There is no definite 'problem' being solved, just capitalizing on an opportunity to leverage industry investment in generative AI for software development

Expected benefits

This use case will boost engineering velocity, code quality, and developer happiness by automating the coding workflow through AI tools customized to our teams.

System outputs

Expediated quality software for Test Engineering

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): Tabnine
Custom-developed code: No
Public source code: Not reported

Sourcing

How it was built: Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported): Tabnine
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: Yes
Demographic features: k) None of the above
Training and evaluation data: Tabnine is responsible for model training, containerization, and updates to their software
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