Sources Sought for AI Code Generation for the Energy Information Administration
ID: AICodeGenerationType: Sources Sought
Overview

Buyer

ENERGY, DEPARTMENT OFENERGY, DEPARTMENT OFHEADQUARTERS PROCUREMENT SERVICESWASHINGTON, DC, 20585, USA

NAICS

Computer Systems Design Services (541512)

Original Source

https://sam.gov/opp/819164ed6386471394caaa5095a19b05/view
Timeline
    Description

    The U.S. Department of Energy's Energy Information Administration (EIA) is seeking information from potential contractors regarding AI capabilities for code assessment and generation. The EIA aims to develop an AI-enabled tool that can evaluate and generate developer code across multiple programming languages, including Python, R, SAS, HTML, Java, and PHP, while ensuring optimized performance, security, and compliance with FEDRAMP standards. This initiative is crucial for enhancing the EIA's operational framework and maintaining high standards of data confidentiality and usability. Interested parties must submit their responses by 5:00 PM Eastern Time on December 5, 2024, to Contracting Officers Katherine Bowen and Alexa Zamba via email, adhering strictly to the submission instructions outlined in the attached specification sheet.

    Point(s) of Contact
    Katherine Bowen
    katherine.bowen@hq.doe.gov
    Alexa Zamba
    Alexa.Zamba@hq.doe.gov
    Files
    Title
    Posted
    SAM.gov Sources Sought AI Code Generation.docx
    The U.S. Department of Energy (DOE) has issued a Sources Sought Notice to gather feedback from contractors regarding AI capabilities for code assessment and generation. This notice is part of the acquisition planning and market research phase, allowing the DOE's Energy Information Administration (EIA) to assess potential sources that can fulfill their requirements outlined in a draft Specification Sheet. The intention is to prepare for a future Request for Proposals (RFP) without implying any immediate solicitation or obligation. The EIA aims to identify firms capable of providing a solution that assesses and generates developer code across several programming languages and is requesting detailed information about company qualifications, capabilities, and compliance with specific requirements. Responses must include company profiles, confirmations of product features (such as compatibility with multiple languages), and a capability statement. Vendors will also be required to address important factors like data privacy, potential risks, and governance related to AI tools. Responses are voluntary and due by December 5, 2024, with submissions directed to designated contracting officers. This market research effort is intended to shape the eventual acquisition strategy without committing the government to any contracts at this stage. The government will not notify respondents of evaluation results, highlighting the exploratory nature of this inquiry.
    SAM.gov Sources Sought Draft Specification Sheet AI Code Generation.docx
    The U.S. Energy Information Administration (EIA) is seeking proposals for an AI-enabled tool to assess and generate developer code. This initiative stems from the outlined definition of artificial intelligence as per President Biden's Executive Order. The EIA aims for a tool that can proficiently evaluate and suggest enhancements in various programming languages, including Python, R, SAS, HTML, Java, and PHP, ensuring optimized performance and security. Additionally, the tool must be capable of generating new code based on textual prompts and integrating with platforms like GitLab/GitHub. Essential features include 24/7 US-based support, data confidentiality through encryption, operational awareness regarding technical limitations, and user-friendly interfaces for both users and administrators. Compliance with FEDRAMP standards for web-based solutions is also a requirement. The overall goal is to leverage cutting-edge AI technologies to enhance code development while maintaining high security and usability standards, reflecting the EIA’s commitment to integrating advanced tools into its operational framework.
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    Sources Sought for AI Code Generation for the Energy Information Administration
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