AI-Powered Development with GitHub Copilot: 1-Mo Proof of Value

PRODYNA SE

Enable AI-enhanced coding with expert-led GitHub Copilot enablement and strategic adoption across teams.

PRODYNA's GitHub Copilot PoV offering is a structured program designed to integrate AI coding assistance into your development workflow. It includes setup, developer enablement, KPI definition, usage phases, and a comprehensive evaluation to scale GitHub Copilot across teams and improve coding efficiency and quality.

PoV Structure

Session 1: Copilot setup and KPI alignment

Duration: 1 day

Objective: Implement GitHub Copilot and establish a framework for evaluating its effectiveness throughout the duration of the PoV.

Agenda:

  • Copilot activation: Guide your team through the setup process and ensure that GitHub Copilot is operational for all relevant developers.
  • Developer Enablement: Conduct a hands-on enablement session to familiarize your developers with Copilot's features and best practices.
  • KPI Discussion: Work together to define key performance indicators that will measure the success of the PoV, such as code completion rate, coding time reduction, and impact on defect frequency.
  • Data Collection Strategy: Outline methods for collecting the data needed to assess the predefined KPIs and ensure accurate tracking of Copilot's performance.

Weeks of use

Duration: 1 month

Objective: Gain first-hand experience with GitHub Copilot

Your team will actively use GitHub Copilot in their daily coding tasks. This period is crucial for gathering empirical data and insights on how Copilot impacts the software development lifecycle. PRODYNA supports the teams by

  • Monitoring and support: Providing ongoing assistance and technical support to ensure smooth integration and optimal use of GitHub Copilot.
  • Data Collection: Collecting relevant data against pre-defined Key Performance Indicators (KPIs) such as code completion rate, coding time reduction and bug frequency. This data collection is critical for evaluating the effectiveness of Copilot during the PoV.
  • Feedback loops: Encourage continuous feedback from developers using GitHub Copilot. This feedback is essential for understanding the user experience, identifying potential issues, and making adjustments to maximize the benefits of Copilot.

Session 2: Evaluation & Strategic Scaling

Duration: 1 day

Objective: Gather feedback, measure the success of the PoV, and develop a strategy for scaling GitHub Copilot across your organization.

Agenda:

  • Gather feedback: Gather detailed feedback from the development team about their experience with GitHub Copilot.
  • Measuring success: Analyze the collected data against the established KPIs to evaluate the success of the PoV.
  • Scaling Discussion: Based on the results of the PoV, define a comprehensive plan for rolling out GitHub Copilot to additional teams or the entire organization.
  • Next Steps: Outline the subsequent phases after the PoV, including any necessary training, support, and integration enhancements to ensure a smooth company-wide rollout of GitHub Copilot.

Why choose PRODYNA for your PoV?

  • Expert guidance: Leverage PRODYNA's deep understanding of GitHub tools to ensure a seamless Copilot implementation.
  • Tailored KPIs: Benefit from a PoV that's structured around your company's specific success criteria.
  • Comprehensive support: From setup to strategic scaling, get dedicated support throughout your Copilot journey.

Ideal participants

  • Development teams ready to enhance their coding processes with AI.
  • Organizations seeking empirical data to validate the adoption of AI-powered tools.
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