Integration of AI, specifically CoPilot for GitHub, for BTFA Software Development Life Cycle Process for DME and O&M applications.
Description
Reductions in BTFA Application and Database Staff has lead to increase workload for remaining staff for DME and O&M activities of applications and servers. This code is considered sophisticated in nature, code resides in Azure App Workspace (Web/Function/Logic Apps) and standalone applications and servers.
Detailed example
changes in source code after review by application/dba staff along with appropriate testing before going to production.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
Due to reduce staffing, BTFA needs to integrate AI for its DME and O&M of applications and servers (database/application/web/etc) which has sophisticated code base. AI has show promise in reducing staff hours for all phases of SDLC.
Controls / human review
ATO: No; PIA: Not published
Data needed
No data is used