Encora AI SDLC with GitHub Copilot

Encora Digital LLC

The 12-week service offering provides a structured approach to enable an AI SDLC at the individual contributor level.

Realize the transformative impact of generative AI in the software development lifecycle (SDLC) with this service offering. It enables you to improve productivity and quality by utilizing GitHub Copilot effectively and implementing the appropriate governance processes to measure and achieve ROI. The 12-week service offering provides a structured approach to enable an AI SDLC at the individual contributor level. It optimizes the current governance processes to include AI-driven metrics and trains engineers to adopt GitHub Copilot in engineering activities rapidly and effectively. The service lays the foundation for scaling up in the future with additional accelerators, processes, and tools built on the Azure ecosystem. It includes the Azure AI Foundry, to boost productivity and quality gains realized through effective AI adoption. Phase 1: Assessment (2 weeks) Evaluate engineering practices, including SDLC, governance, IT infrastructure, team structure, policies, and security. Gather data on current AI initiatives and align engineering strategy with organizational goals. Deliverables:

  • Governance gap analysis.
  • Adoption and training plan. Phase 2: Enablement (10 weeks) Optimize governance processes by defining AI-specific productivity and quality metrics. Conduct training workshops and provide ongoing support for AI tool adoption. Monitor and guide engineers on best practices. Deliverables:
  • Updated governance documentation and metrics.
  • Baseline vs. improved metrics report. Highlights • The accelerator deploys GitHub Copilot in two selected engineering teams to prepare organizations to leverage AI effectively in engineering activities. This enables them to scale by adding more teams to the initiative and creating higher-value accelerators built with Azure AI Foundry. • This exercise is designed to help companies utilize Azure with the successful integration of AI into the SDLC. This approach will ensure that organizations adopt AI effectively and achieve measurable gains in productivity and quality.
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