Engineering Principles & Worldview
How we architect AI-first systems for Firebase for Builders, focusing on tokenomics, brownfield modernization, and zero-trust security.
5 Core AI Engineering Principles
Zero-Trust AI Endpoint Defense
Never expose raw model inference APIs directly to unauthenticated clients. Production AI architectures must intermediate model requests through serverless gateways protected by Firebase App Check, mobile reCAPTCHA attestation, and Google Cloud Armor.
Tokenomics is Systems Engineering
Treat LLM token consumption like memory allocation. An unconstrained prompt loop is the AI equivalent of a memory leak. Resilient systems optimize context caching, model tier routing, and machine-readable tool schemas before scaling concurrency.
Brownfield Over Greenfield
Enterprise software engineering is brownfield. Attempting to rewrite existing backends from scratch to adopt AI causes regressions. Use the Strangler Fig pattern to wrap legacy services with agentic sidecars incrementally.
Production Infrastructure Parity
Practice what you preach. We build and run developer enablement platforms on the exact same production infrastructure we recommend to builders: Firebase App Hosting, Cloud Run us-east4, and Cloud Firestore.
Machine-Readable Architectures (MCP Native)
As software engineering evolves toward autonomous agents, backends must be readable by machines as well as humans. Exposing cloud resources securely as Model Context Protocol (MCP) tools makes enterprise data inherently agent-native while preserving strict IAM access controls.
Executive Background
Ibrahim Ulukaya is a Developer Relations Manager and Engineering Lead for Firebase for Builders at Google. His work centers on mobile and full-stack AI enablement, SDK architecture, and technical eminence across the Google Developer ecosystem.
Architectural Disclaimer
All articles, TIL snippets, and architecture blueprints on ulukaya.dev reflect my personal engineering worldview and independent trade-off evaluations. They do not represent official Google policy, binding SLAs, or unlaunched roadmap commitments.