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AI Native SDLC

PT. ECOMINDO SARANACIPTA

Enable organizations to adopt an AI-native SDLC using GitHub Copilot to improve code quality, developer experience, onboarding speed, and delivery consistency.

This offer helps organizations establish an AI-native Software Development Lifecycle (SDLC) using GitHub Copilot as a foundational capability. It enables development teams to produce high-quality, architecture-aligned code faster and more consistently through agentic coding assistance embedded in both IDEs and GitHub repositories. By incorporating AI into daily workflows, enterprises can reduce repetitive effort, improve developer satisfaction, accelerate onboarding, and create a reliable framework for scaling modernization across applications.

The engagement begins by setting up the essential foundation: integration of GitHub Enterprise, Copilot configuration, repo-level agent enablement, and alignment with enterprise reference architectures. Development teams are onboarded with AI-guided coding patterns, reusable scaffolding, prompt playbooks, and governance standards to ensure secure and compliant usage. This phase also includes a focused pilot on a real workload (such as a customer touchpoint application) to validate outcomes in code quality, documentation generation, testing coverage, and delivery speed.

Once the pilot establishes repeatable value, the approach expands to priority applications where legacy systems, undocumented logic, and integration complexity are common challenges. AI-driven scaffolding, automated PR reviews, documentation regeneration, and enhanced test creation help teams modernize systems more predictably while improving consistency of implementation. Throughout this phase, shared templates, guardrails, and architecture checks are introduced to institutionalize best practices.

The final phase broadens adoption across the enterprise. Governance frameworks, secure coding policies, Copilot usage guidelines, and automated quality gates are formalized to ensure long-term sustainability. AI-native playbooks, knowledge hubs, and scalable onboarding programs help embed this model into daily engineering operations. By the end of the engagement, organizations achieve a modernized SDLC where teams deliver high-quality software faster, onboard new developers more efficiently, and maintain stronger architectural compliance across all application domains.

Súhrnný prehľad

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