Gemini API × Langfuse — A Production Playbook for LLM Observability
A practical, production-grade guide to wiring Gemini API into Langfuse — tracing architecture, cost attribution, LLM-as-Judge on live traffic, PII masking, and sampling — with runnable code.
Defending Gemini API Apps from Prompt Injection: A Multi-Layer Production Architecture
A four-layer prompt injection defense for Gemini apps: sanitized input, hardened prompts, structured output, and a moderator LLM — with runnable Python.
Resilient Gemini API Services in Production — Circuit Breakers, Bulkheads, and Fallback Models That Keep Your App Alive
A production-ready resilience playbook for Gemini API: circuit breakers, bulkheads, jittered retries, and model fallback chains — with working Python so your service stays up even when the upstream doesn't.
Gemini × DSPy: Retire from Prompt Craftsmanship — Automated Prompt Optimization
A hands-on implementation guide for combining Stanford's DSPy framework with Gemini to end the era of hand-written prompts. Covers Signatures, Modules, Optimizers, LLM-as-a-Judge metrics, and production pipelines — all with working code.
Don't Let Your Gemini Prompts Silently Rot — A Practical Regression Testing Playbook with Pytest
Ever tweaked a prompt and watched production quality quietly degrade? This article walks through testing Gemini API prompts with Pytest, combining snapshot tests and LLM-as-Judge to catch regressions automatically — all from the perspective of an individual developer running things solo.
Gemini API Caching in Production — Operational Notes from an Indie Mobile Developer
Field notes on running Gemini API's Context Caching and Implicit Caching together inside indie mobile apps. Includes working Python code, six months of measured costs from AdMob-funded apps, and seven non-obvious operational pitfalls.
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.
Building Event-Driven Async AI Pipelines with Gemini API — Pub/Sub, Webhooks, and Queue Integration for Production
A deep dive into designing event-driven asynchronous AI pipelines using Gemini API with Google Cloud Pub/Sub, webhooks, and Redis queues. Includes the design pitfalls and how to estimate cost and throughput.
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.
I Asked Gemini to Grade My App Store Screenshots. Everything Scored 78–85.
Ask Gemini Vision to grade App Store screenshots out of 100 and good candidates and deliberately broken ones both land at 78–85. Here is how I measured the judge's discrimination power, dropped absolute scoring, and rebuilt it as debiased pairwise comparison.
When Gemini's executed result and its prose disagree on a number — a gate that trusts only code_execution_result
Gemini Code Execution returns the value it actually computed and the sentence describing it as separate parts. Trust the prose and you can inherit a hallucinated number. Here is a verification gate, in working code, that extracts the executed result as the single source of truth and rejects prose that disagrees.