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GitHub Copilot governance

GitHub Copilot governance workflow with AIDLC Studio.

GitHub Copilot includes enterprise governance, custom instructions, agents, code review, policies, and metrics. AIDLC Studio adds workflow routes, evidence ledgers, and product acceptance gates.

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How to use together

Copilot manages the assistant experience. AIDLC manages the delivery evidence.

GitHub Copilot contributes

  1. Code suggestions, chat, agents, code review, custom instructions, and enterprise controls.
  2. Repository, organization, and enterprise configuration surfaces.
  3. Usage metrics, policies, and access management.

AIDLC Studio contributes

  1. Brownfield, Greenfield, and Config/Infra workflow routes.
  2. Issue, PR, and release templates for AI-assisted work.
  3. Evidence ledger rows for review, acceptance, and learning.

Start

Recommended Copilot governance path

01Preview routeCapture scope, risk, and evidence needs before Copilot output is accepted.02Use the PR templateMake every AI-assisted PR show accepted, changed, and rejected suggestions.03Use the review gateCheck tests, dependencies, security, and product acceptance.04Measure maturityTrack team governance readiness over time.

Official source

GitHub Copilot reference

GitHub Copilot documentation