Generating Multilingual Video Subtitles (SRT/VTT) with the Gemini API
A practical pattern for generating SRT/VTT subtitles in multiple languages from a single video file using the Gemini API. Covers timestamp accuracy, JSON schema output, and production pitfalls.
Measuring Classification Confidence with Gemini API Logprobs — A Practical Walkthrough
Use the Gemini API responseLogprobs option to extract per-token confidence scores, then turn them into an auto-vs-review gate for classification — with working Python code and the threshold thinking behind it.
A Tiny RAG Stack With Gemini + sqlite-vec — Production Patterns for Solo Developers
If you have been holding off on adding RAG to your personal app because Pinecone's monthly fee or Qdrant's memory footprint felt like overkill, this guide is for you. We walk through a production-grade design that runs on a single server, pairing Gemini's embedding API with sqlite-vec, with working code you can lift straight into your project.
Designing Production-Grade Safety Controls for the Gemini API: A Layered Moderation Architecture That Minimizes False Positives Without Letting Abuse Through
Relying on the Gemini API's Safety Settings alone leads to legitimate questions getting false-blocked or carefully crafted malicious prompts slipping through. This guide shows a four-layer moderation design that stands up in production.
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.
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.
Rendering Gemini's Thought Summaries in a Next.js UI — A Production Pattern for Explainable AI
A production walkthrough for surfacing Gemini 2.5 / 3 thought summaries in a Next.js UI. Covers the SDK configuration, Server-Sent Events, a React collapsible component, observability, and the UX judgement calls you face when you decide how much of the AI's reasoning to show.
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.
Building Cross-Platform AI Desktop Apps with Gemini API and Tauri 2.0
A practical guide to building macOS, Windows, and Linux desktop AI apps using Tauri 2.0 and Gemini API. Learn secure API key management with a Rust backend, real-time streaming via Tauri's event system, and native OS integration with working production code.
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.