All Articles
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.
Gemini Context Caching as Margin Engineering — Protecting a 70% Gross Margin Instead of Cutting Prices
Treat Gemini's Context Caching not as cost reduction but as margin engineering — a practical playbook for protecting 70% gross margin, with cache-hit tuning, cost simulation, and pricing decisions for solo SaaS operators.
The Gemini API Error Handbook — 401 / 403 / 404 / 429 / 500 / 503, Diagnosed by Symptom
A field handbook for Gemini API errors, organized by HTTP status and visible symptom. Covers auth, model naming, quotas, safety filters, region issues, and SDK pitfalls — with a retry strategy designed for production.
Gemini 2.5 Pro API: Cost Design Basics Before Building a Paid Chat Service
Individual developers can now build profitable chat services. But low API costs don't equal profitability. We'll walk through Input/Output pricing, Context Caching, and Batch API strategies that reduce costs by 40%—with real numbers.
gemini-2.5-pro-latest— Model Aliases, Parameters, and Production Patterns
A deep practical guide to calling the Gemini API with the `gemini-2.5-pro-latest` alias. Covers model pinning, parameter tuning, timeouts, streaming, structured output, and a production-grade checklist.
`gemini-2.5-pro-latest` Returns 404 — Aliases, Base Names, and How to Pin a Version
Diagnose why the Gemini API returns 404 for `gemini-2.5-pro-latest`, understand the alias vs base-name semantics in Gemini 2.5, and choose the right way to pin a model version in production.
Gemini API Keeps Wrapping Code in Markdown Fences — Three Patterns to Get Raw Code Out
Even when you ask Gemini for 'Python code only', responses keep coming back wrapped in triple backticks. System instructions can reduce but not eliminate it. Here's the three-layer pattern I use in production: instruction hardening, regex post-processing, and JSON schema output.
When Your Prompt Works in Google AI Studio But Fails Through the Gemini API
Your prompt ran perfectly in Google AI Studio, but the same call from your own code keeps returning 400, 404, or an empty response. Here's a diagnosis checklist that zeroes in on the exact gap between Studio and the API.
Extract Structured Data from Real-World Photos with Gemini — Surviving Tilt, Shadows, and Occlusion in Production
Getting Gemini to return JSON from clean sample images is easy. Making it work reliably on the messy photos your users actually take is a different problem. Here's how I classify the failures and fix each layer — with the code I run in production.
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.
Running gemini-2.5-pro-latest in Production: Rate Limits, Error Handling, and Cost Control
A production-focused guide to gemini-2.5-pro-latest: when to pin a version instead of tracking the alias, correct retry strategies for every common status code, and the Prompt Caching + Batch API patterns that cut real invoices in half.