A curated reading shelf of canonical publications, reference architectures, and systems engineering papers across Google Cloud, Firebase, and AI tokenomics.
The foundational Google Cloud publication defining AI tokenomics as a systems engineering discipline. Essential reading for understanding context caching, prompt optimization, and model tier routing.
Read original publication →A comprehensive technical walkthrough showing how Google Cloud spend caps operate natively across Firebase AI Logic, Cloud Run Functions, and App Hosting projects.
Read original walkthrough →Martin Fowler's definitive specification for incrementally replacing legacy monoliths with modern microservices. Crucial for enterprise builders adopting AI sidecars without backend rewrites.
Read canonical specification →Official technical documentation on protecting backend resources and Gemini inference endpoints from abuse using hardware-level client attestation and reCAPTCHA tokens.
Read security docs →Canonical personal engineering blogs from respected peers and advisors across the Google Cloud, Firebase, and AI developer ecosystem.