Sprint · Copilot & DevAI

DevAI Enablement SprintGitHub Copilot, rolled out the right way.

GitHub Copilot is no longer just inline completion — Chat, Workspace, and Coding Agent are reshaping how engineering teams work. This sprint stands up rollout, governance, baseline metrics, and an AI-augmented SDLC blueprint.

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4 weeksCopilot & DevAI

Who it's for

Is this sprint for you?

Engineering leadership rolling out GitHub Copilot
Teams already on Copilot looking to measure ROI
Companies preparing for Coding Agent adoption

Deliverables

What you walk away with.

Licensing and configuration baseline
GitHub Copilot best-practices playbook for your stack
Engineering productivity metrics dashboard (acceptance rate, PR cycle time)
AI-augmented SDLC reference architecture
Hands-on workshops for a champion team
Executive read-out with ROI projection

Timeline

Week-by-week — 4 weeks.

01
Week 1 — Baseline
Licensing audit, current usage telemetry, governance gaps, productivity baseline.
02
Week 2 — Standards
Best-practices playbook, SDLC reference architecture, security/IP configuration.
03
Week 3 — Pilot
Champion team workshops, daily coaching, real-time metric tracking.
04
Week 4 — Measure & scale
30-day metrics, scale plan, exec read-out, champion-network setup.

Stack

What we use.

The Microsoft AI ecosystem we lean on for this sprint.

Primary stackGitHub Copilot Business/EnterpriseCopilot WorkspaceCoding AgentVisual Studio + AIGitHub Actions

Scope

What's not included.

We're explicit about scope so you can decide whether you need to scale up — or stop here.

Custom developer agent development (see AI-Augmented SDLC)
Long-form curriculum or LMS integration

FAQ

Common questions.

What about Coding Agent?: We cover Chat, Workspace, and Coding Agent — but Coding Agent rollout requires extra governance (issue selection, branch protection, review process). We bake that in.
Can we measure real ROI?: Yes — directional. We baseline PR cycle time, review effort, and defect rates before, then re-measure at 30/60/90 days. We're upfront about what's directional vs. precise.