Platform Engineering
8 articles
Backstage Fatigue: When NOT to Build an Internal Developer Platform
Self-hosted Backstage costs $450K-800K in year one and stalls at ~10% adoption. When an internal developer platform is the wrong call, and what to do instead.
How We Automated Our Way to 5-Minute Onboarding (Hint: It's Not Just AI)
How we cut developer onboarding from hours to 5 minutes by automating codebase detection, Dockerfile fixes, and build pipeline setup - not just with AI, but with deterministic analysis.
Reverse ML: Using AI to Write Rules, Not Run Them
Instead of calling LLMs at runtime, we used AI to generate deterministic rules that execute in milliseconds. The Reverse ML pattern for fast, auditable codebase classification.
Skyhook Agent: AI That Actually Understands Your Infrastructure
An AI assistant with real-time access to your Kubernetes infrastructure. Skyhook Agent sees your configs, logs, and dependencies - and takes action through pull requests.
Buy, Don't Build: The Case for Pre-Built Internal Developer Platforms
Building Backstage costs $450K-$800K in year one. The honest case for buying a pre-built IDP instead, including which tradeoffs actually matter.
Streamlining Development with Self-Serve Platforms and Service Catalogs
How self-serve development platforms with service catalogs eliminate the DevOps bottleneck, giving developers instant access to standardized tools and environments.
Platform Engineering & The Value of Golden Paths in the Light of the 80-20 Rule
Golden paths handle 80% of developer tasks with pre-built templates. How platform engineering teams use the 80-20 rule to balance standardization with flexibility.
The Rise of Platform Engineering: Redefining DevOps for the Modern Era
Platform engineering is the natural evolution of DevOps. How self-service platforms, reusable toolchains, and developer experience are reshaping the way teams ship software.