Gemini API Production Performance Tuning — A Triple Optimization Strategy for Latency, Throughput, and Cost
Learn how to simultaneously optimize latency, throughput, and cost in production Gemini API deployments. Covers Flex/Priority inference, Context Caching, intelligent model routing, and async batch processing with working code and benchmark results.
Connecting Gemini Agents with Google's A2A Protocol: Design, Implementation, and Cloud Run Operations
Build cross-framework agent coordination with the Agent2Agent (A2A) protocol and Gemini API. Agent card design, measured comparison of three coordination patterns, and the operational details that matter on Cloud Run.
Gemini API Rate Limits and 429 Handling: Operational Notes from an Indie Mobile App
Operational notes on handling Gemini API rate limits and 429 errors in a production indie mobile app: exponential backoff, adaptive control, multi-key pooling, and Cloud Monitoring integration, all rebuilt after a real incident.
Gemini API Semantic Router: Implementation Notes for Splitting Flash and Pro Smartly
Implementation notes for building a production-grade semantic router that automatically dispatches Gemini queries between Flash and Pro. Includes Python and TypeScript working code, a two-stage design pattern, and seven implementation insights from running it inside an indie wallpaper app.
Growing a Customer Support Chatbot with Gemini API: An Implementation Notebook
An implementation notebook for building a production-ready customer support chatbot with Gemini API, covering three-layer system prompts, Function Calling for FAQ lookup, escalation design, and seven pitfalls not covered in the official documentation, drawn from indie developer experience.
Gemini API × React Native Operational Notes — Indie Mobile App in Production
Operational notes from running Gemini API inside a React Native/Expo indie mobile app on iOS and Android: real device pitfalls, AdMob coexistence, Cold Start mitigation, AsyncStorage TTL design, and cost realities at 65,000 monthly requests
Firebase Genkit × Gemini API in Production — Design Choices and Gotchas from a Month of Indie Backend Work
Field notes from a month of running Firebase Genkit and Gemini API behind an indie app review-summarization backend. Flow and Tool design, Cloud Functions vs. Cloud Run, real cost and latency numbers, and seven undocumented gotchas.
Gemini API Production Notes — Quiet Defenses Against 429, 500, and 503 Under Real Traffic
Operational notes from running Gemini API in production on an indie wallpaper app: exponential backoff, jitter, circuit breakers, token buckets, and model cascades — with the pitfalls I actually hit and measured retry success rates.
The Same gemini-flash-latest Pointed to Different Models in Different Regions
Alias resolution rolls out region by region. Send the same gemini-flash-latest to Tokyo and us-central1 and, for a few days, different models answer. Here is why that quietly invalidates your comparisons, and how a one-shot probe catches it.
The Model Didn't Ship on Its Rumored Date — Read Your Context Limit From the API, Not the Headlines
July 17 came and went with no official word on Gemini 3.5 Pro. Instead of baking rumored numbers into constants, here's a context budget layer that reads the real limit from models.get and degrades quietly when input overflows.
Closing the Failures That Never Throw: Normalizing Gemini API Responses into a Discriminated Union
An HTTP 200 with an empty body will never reach your catch block. Here is how I normalize finishReason and blockReason into a discriminated union, and let a never check turn missed cases into compile errors.
Setting a Token Budget Per Free User: Balancing AdMob Revenue Against AI Feature Cost
Rate limits protect requests per minute. They do nothing for the invoice that arrives at the end of the month. Here is how I derive a per-user token budget from ad revenue, keep the ledger inside a single call wrapper, degrade gracefully at a soft cap, and detect abuse with one concentration ratio.