Open Source / Enterprise / AI
Solving enterprise problems.
Open source for delivery, architecture, AI, and operations under real enterprise constraints.
Delivery
Delivery is everything.
On time. On budget. With measurable impact as early as possible. Enterprise architecture is not the goal unless it makes delivery faster, safer, and more resilient. My mindset
Enterprise pain
Enterprise problems are system problems.
Enterprise software rarely fails because ideas are missing. It fails because delivery has to survive teams, compliance, legacy, security, data, providers, deployment, audit, and AI transformation at the same time.Articles
Decisions, not content marketing.
Short technical essays on architecture decisions, AI execution, observability, and data contracts that matter in real systems. 01 Type-Safe Database Clients with SurrealDB: Automating Schema Generation How generated Zod schemas, TypeScript types, and client helpers reduce drift between SurrealDB schemas and application code. Read 02 Running TypeScript in a Sandbox: A Deep Dive into QuickJS and WebAssembly How to run user-provided or AI-generated JavaScript and TypeScript in a controlled QuickJS WebAssembly guest runtime with explicit host capabilities. Read 03 Why I Built PURISTA: A TypeScript Backend Framework for the Modern Era Why enterprise backend architecture should start with business capabilities, explicit contracts, and deployment shape as a runtime decision. Read
All articles Current focus Since June 2025
I have joined EggAI Technologies GmbH
Helping enterprises with AI transformation, AI optimization, and the introduction of AI into enterprise workflows, architecture, and operational systems.