All Articles
What You Can Build With the Gemini API Free Tier — Three Starter Projects With Code
A clear-eyed look at the Gemini API free tier limits and what you can actually build without paying anything. Includes three beginner-friendly projects with working Python code.
Monetizing Gemini API Apps in 2026: Freemium Design, Cost Control, and Retention Patterns
A practical guide for indie developers building revenue-generating apps with Gemini API. Covers freemium boundary design, real cost modeling, rate limiting, and subscription integration with working code examples.
Gemini 2.5 Pro Thinking Mode Masterclass: Code, Debug, and Architecture in Practice
A practical masterclass on Gemini 2.5 Pro thinking mode for code generation, bug diagnosis, and architecture review. Budget optimization, output patterns, cost management.
Auto-Generate Code Documentation with Gemini API: README, JSDoc, and OpenAPI Specs in Python
Learn how to use Gemini API to automatically generate README files, JSDoc comments, and OpenAPI specs from your codebase. Python scripts included — eliminate the documentation backlog with AI.
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.
Managing Gemini API with LiteLLM — A Practical Guide to Running Multiple AI APIs Together
Learn how to use LiteLLM to manage Gemini API alongside Claude and OpenAI. This practical guide covers unified interfaces, fallback configuration, and cost tracking for multi-LLM setups.
Gemini API Returns Markdown — How to Get Plain Text Responses
Gemini API responses often contain Markdown symbols like **, ##, and -. Learn how to get clean plain text using response_mime_type, System Instructions, and post-processing with practical Python and TypeScript code examples.
Gemini API × Gemma 4 Hybrid Inference Architecture: A Complete Production Guide to Cutting API Costs by 70%
Learn how to build a hybrid inference architecture combining Gemini API and Gemma 4 local models. Covers request routing design, cost analysis, and production deployment — with complete Python code.
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.
Gemini API System Instructions Not Working — 4 Common Causes and How to Fix Them
Set up System Instructions but the model keeps ignoring them? This guide covers the 4 most common reasons why system prompts fail in Gemini API — from wrong parameter placement to multi-turn drift — with working code examples.
Automate Competitive Analysis and Price Monitoring with Gemini API's URL Context Tool
Learn how to build competitive intelligence and price monitoring systems using Gemini API's URL Context tool in Python. Automate the manual work of checking competitor sites with practical, production-ready code examples.