All Articles
Production Streaming UI with Gemini API + TanStack Query — Cancellation, Retries, and Cache Coherence
TanStack Query is optimized for one-shot REST/JSON requests, so streaming responses don't fit naturally. This guide walks through the gotchas of using Gemini API SSE with TanStack Query and the production-grade design patterns that hold up in real apps.
Stop Gemini From Phoning In the Last Few Paragraphs — Prompt Patterns That Hold Density to the End
When Gemini writes long pieces, the final paragraphs often go thin. A solo creator's three-layer routine — pre-declared footer, staged generation, verifier agent — to keep density consistent from start to finish.
Testing Gemini API with Vitest — Mock Patterns and Function Calling Verification for TypeScript Projects
Practical patterns for testing TypeScript code that calls the Gemini API, using Vitest. Covers SDK mocking, Function Calling verification, and streaming response tests, drawn from a setup I run in personal projects.
Gemini API × Inngest: Building Fault-Tolerant AI Workflows for Production
A practical guide to building durable, fault-tolerant Gemini API workflows with Inngest — covering retries, fan-out/fan-in, human approval, throttling, and dead-letter patterns.
When Gemini API URL Context Returns Nothing: A Diagnostic Walkthrough
If Gemini's URL Context tool stays silent or returns generic answers, the cause is almost always one of three things: tool configuration, URL formatting, or site-side restrictions. Here's how to isolate which.
Fixing 'Thoughts must be present in conversation history' in Gemini API: Thought Signatures in Multi-Turn Tool Calls
If you're hitting 'Thoughts must be present in conversation history when using thinking signature' in Gemini 2.5/3.x with multi-turn function calling, this guide walks through what's actually happening and how to fix it in five minutes — Python SDK, REST, and streaming all covered.
Building a Production-Grade Gemini API Backend with NestJS — DI, Filters, and Guards
A practical pattern for wrapping the Gemini API in a NestJS backend. Covers DI-based service design, SSE streaming, exception filters, guards, multi-model Flash-to-Pro fallback, exponential-backoff retries, and measured latency/token metrics.
Dynamic Few-Shot for Gemini API — A Self-Improving Prompt That Picks Examples by Vector Search
Hand-picked, hard-coded few-shot examples stop scaling once your inputs drift. This guide builds a Gemini Embeddings + vector search pipeline that selects the best 3-5 examples per request and grows them from production feedback, with copy-paste code.
Gemini API Best Temperature for Translation Tasks — Optimal Values by Use Case
Choosing the right temperature for Gemini API translation tasks is harder than the docs let on. This guide gives you tested values, side-by-side outputs, and production patterns by use case.
Beyond Embeddings: Production Reranking with Vertex AI Ranking and Gemini-as-Judge
When pure embedding search nails the top-3 but buries the right answer at rank 4, you need a reranker. This guide walks through a production-grade two-stage architecture using Vertex AI Ranking API and Gemini-as-judge — with cost, latency, and evaluation patterns that hold up under load.
Gemini API Won't Connect Through Corporate Proxy or SSL Verification — A Troubleshooting Walkthrough
Your Gemini API script worked on your personal laptop, but the corporate Windows machine just hangs. Isolate proxy, SSL, and certificate issues layer by layer with working Python and Node.js examples.
Gemini API: GEMINI_API_KEY vs GOOGLE_API_KEY — Which One Should You Actually Use?
A practical, SDK-by-SDK guide to the GEMINI_API_KEY vs GOOGLE_API_KEY confusion. Covers precedence rules, the Vertex AI auto-switch, and four real-world traps with diagnostic snippets you can paste into a running app.