AI Prototype Architecture Review
Is the existing code a viable product foundation—or simply a working demo?
Review your prototype →Software Architecture and Platform Engineering for Cloud-Native Systems
I help software teams make focused architecture decisions: assess existing software, plan the path to a production-ready product, and evolve complex systems with control.
From AI Prototype to Viable Software
AI tools can produce a working application in a short time. Whether it becomes a dependable product foundation depends on its architecture, data model, testability, delivery, and operations. These consulting formats clarify what can stay, what needs targeted improvement, and what the next investment should be.
Prototype-to-Product Blueprint
What architecture, implementation steps, and effort will turn an idea or demo into a dependable product?
Plan the implementation →Coding-Agent Readiness · Pilot
Which architecture and delivery obstacles are holding coding agents back in the existing codebase?
Book a pilot call →Platform Engineering and Incremental Modernization
Three focused formats for dependable delivery, necessary Kubernetes migrations, and controlled change across mature systems.
GitOps Delivery Blueprint
A target architecture for traceable Kubernetes deployments with GitHub Actions and Argo CD.
View the GitOps Blueprint →Ingress-NGINX to Gateway API
A repository-based analysis and reliable migration path for routing, TLS, and edge cases.
Assess the migration →Incremental Modernization Blueprint
A step-by-step strategy for mature systems, without putting development and operations at risk through a big-bang change.
View the modernization strategy →Methodology
Analyze before deciding to implement
I don’t judge software by whether it was built with or without AI. What matters is whether its architecture fits the intended use, risks can be controlled, and changes can be validated reliably. The result is not a blanket rewrite recommendation, but a clear choice between keeping what works, targeted remediation, and incremental replacement.
01 independent assessment
02 concrete technical evidence
03 prioritized actions
04 an actionable next step
Experience from Demanding Platform Projects
My project experience spans multi-tenant B2B platforms in regulated domains, cloud-native operating models, distributed backends, and event-driven communication. I connect architecture decisions with hands-on implementation, delivery, and operations.
01
Multi-Part Software Systems
Architecture and implementation of multi-part software systems.
02
B2B Platforms
Multi-tenant B2B platforms with extensive integration needs.
03
Kubernetes-Based Delivery
Kubernetes-based delivery with GitOps and CI/CD.
04
Distributed Communication
Distributed systems with synchronous and asynchronous communication.
Latest Posts from the Blog
Technical perspectives on AI-assisted development, GitOps, Kubernetes, and production-ready systems.
01
Software Architecture for Productive Vibe Coding
How fast AI-generated code can become a product foundation you can assess with confidence.
Read the article →
02
GitOps, Infrastructure as Code, and AI Agents
Why a verifiable desired state helps coding agents with analysis and implementation.
Read the article →
03
Ingress-NGINX Was Discontinued on March 24, 2026
What operators should do now and why the Gateway API migration should be planned.
Read the article →What technical decision comes next?
Choose an available time to discuss your starting point, what prompted the decision, and the right next step.