Platform Engineering
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
Related Concepts
- [[Engineering Strategy]]
- [[AI Adoption]]
- [[Value Stream Mapping]]
- [[DORA]]
Source: [[State of AI-assisted Software Development 2025 (DORA Report)]]
Linked References
- [[6 Archetypes of Broken Ownership]]
Explores six archetypes of broken ownership when knowledge, mandate, or responsibility are missing, …
- [[Broken Ownership Archetypes]]
Six patterns of broken ownership that occur when Knowledge, Mandate, or Responsibility are missing.
- [[Broken Windows Theory]]
Theory that visible signs of disorder encourage further disorder. In software, tech debt compounds …
- [[Ownership Trio]]
True ownership requires three interdependent components: Knowledge, Mandate, and Responsibility.
- [[You Build It, You Own It]]
Philosophy that teams should fully own what they build, not just run it—encompassing knowledge, …
- [[Theory of Constraints]]
A system is only as strong as its weakest point. Focus on the bottleneck and optimize the entire …
- [[AI Adoption]]
The process of integrating AI tools and practices into an organization.
- [[DORA]]
DevOps Research and Assessment - research program studying software delivery performance.
- [[Flexibility Over Rigidity]]
Resilience comes from flexibility, not rigidity - like redwoods that bend with the wind.
- [[Internal Platform]]
Infrastructure and tooling built for internal developer use within an organization.
- [[State of AI-assisted Software Development 2025 (DORA Report)]]
DORA’s 2025 research on AI’s impact on software development, revealing AI as an …
- [[Value Stream Mapping]]
A lean management technique for visualizing and analyzing the flow of work through a system.