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Platform Engineering

🌿 Growing
Created: Jan 19, 2025
Updated: Jan 19, 2025

Platform Engineering is the discipline of designing and building internal platforms that serve as products for an organization’s developers, improving their experience and productivity.

Core Principle: Platform as Product

Organizations that treat their platform as an internal product designed to improve developer experience see significantly greater returns on technology investments, including AI adoption.

Key aspects:

  • Developer Experience Focus: Platform designed around developer needs
  • Self-Service Capabilities: Developers can provision resources independently
  • Standardization: Consistent tooling and workflows across teams
  • Automation: Reduced manual toil and cognitive load

Impact on AI Strategy

According to DORA’s 2025 research:

  • Poor developer experience and fragmented tooling hamper AI strategy effectiveness
  • Well-designed platforms amplify the benefits of [[AI Adoption]]
  • Platform quality acts as a multiplier for AI investments

Components

A robust platform typically includes:

  • [[Internal Platform]] infrastructure
  • CI/CD pipelines
  • Monitoring and observability
  • Security and compliance tooling
  • Documentation and onboarding

Source: [[State of AI-assisted Software Development 2025 (DORA Report)]]