Gemini 2.5 Flash vs Pro: The Practical Selection Guide — Real Benchmarks and a Hybrid Routing Implementation
Benchmark-driven guide to choosing between Gemini 2.5 Flash and Pro. Real measurements of speed, cost, and reasoning quality, plus a hybrid routing implementation and context caching patterns that cut costs by up to 80%.
Optimizing App Store Screenshots with Gemini Vision API: A Complete Guide for Indie Developers
A complete Python implementation guide for using Gemini's multimodal Vision API to automatically analyze, score, and improve App Store screenshots. Four production-ready tools with full error handling.
Combining Gemini API Function Calling and Search Grounding in a Real-Time Information Agent
A design pattern for using Function Calling and Google Search Grounding together in a single agent. Build practical information agents that combine real-time data retrieval with structured tool output.
Gemini 2.0 Flash Is Being Deprecated June 1 — How to Migrate to 2.5 Flash Now
Gemini 2.0 Flash will be deprecated on June 1, 2026. Here's exactly how to migrate to 2.5 Flash — code changes, key differences, and the common pitfalls to watch out for.
Gemini API + Python: Sentiment Analysis on App Reviews with Structured Output
A complete Python sample using Gemini API's Structured Output to classify App Store reviews into sentiment scores, categories, and priority levels as typed JSON. Uses Pydantic for type-safe results.
Gemini 2.0 Flash API Practical Guide — Fast, Affordable, and Smart Enough for Most Real-World Use Cases
Gemini 2.0 Flash hits the sweet spot of cost, speed, and quality. Learn how to call it from Python, when to choose it over 2.5 Flash or 2.5 Pro, and how to estimate your API costs with real examples.
Gemini Function Calling in Production — Design, Implementation, and Debugging
A practical guide to making Gemini Function Calling work reliably in production. Covers function schema design, parallel calling, retry and timeout patterns, and debugging techniques for the issues that actually show up in real applications.
Controlling Gemini 2.5 Pro's Thinking — Thinking Budget and Reasoning-Aware Prompt Design
A deep dive into Gemini 2.5 Pro's Thinking feature and internal reasoning process. Covers Thinking Budget configuration, optimal values by task type, extracting thinking_parts for quality verification, and prompt design patterns that maximize reasoning quality.
Google Sheets API × Gemini API: A Python Data Pipeline — No Apps Script Required
Learn how to build a fully Python-based pipeline that reads data from Google Sheets, processes it with Gemini API, and writes results back — without touching Apps Script. Covers service account auth, structured output, and rate limit handling.
Fixing Gemini API Errors: 5 Common Problems Developers Hit and How to Solve Them
Gemini API throwing 400 INVALID_ARGUMENT, 429 RESOURCE_EXHAUSTED, or model not found errors? This guide covers the 5 most common issues with exact error messages and step-by-step fixes, including migrating to gemini-2.5-pro-latest.
Keeping Gemini API Stable in Production: Rate Limits, Error Handling, and Cost Control
A practical guide to running Gemini API reliably in production. Covers rate limit types and avoidance strategies, error code classification, exponential backoff, token counting, and cost monitoring with real code.
Practical Guide to Gemini API Multimodal Capabilities
Master Gemini API's multimodal features. Learn image, audio, and video processing with production-grade optimization and error handling.