All Articles
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.
Building a Git Commit Message Generator with Gemini API — A Python Developer's Guide
Build a Python tool that reads git diffs and generates meaningful commit messages automatically using the Gemini API. Includes working code, clipboard integration, and Git hook setup.
Gemini API Multi-Turn Chat Breaking: Chat History Management Pitfalls and Fixes
When building multi-turn conversations with the Gemini API, longer chats cause token overflow, slowdowns, and context loss. Learn how to use ChatSession correctly with practical code examples for managing chat history.
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 an Automated Content Pipeline with Veo 3 & Lyria 3 Pro API — Mass-Producing Video + Music
Learn how to combine Veo 3 and Lyria 3 Pro APIs to automatically generate and merge video and music from text prompts. Covers setup, production-ready Python code, error handling, common pitfalls, and cost optimization strategies.
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.
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 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.
Designing a Production Prompt Management System for Gemini API — Versioning, A/B Testing, and Canary Rollouts
A complete implementation guide for solving the prompt versioning, attribution, and safety challenges in production Gemini API deployments — using FastAPI, PostgreSQL, Redis, A/B testing, and canary rollouts.
Building an AI Document Assistant with Gemini 2.5 Pro — Analyze PDFs, Images & Text to Auto-Generate Markdown Reports
Learn how to use Gemini 2.5 Pro's File API and multimodal capabilities to batch-analyze PDFs, images, and text files, automatically generating structured Markdown reports. Includes complete, runnable Python code.
Gemini 2.5 Pro vs 2.0 Flash — Picking a Default Model for Solo Development
A hands-on comparison of Gemini 2.5 Pro and 2.0 Flash from a solo developer's view: where accuracy actually diverged on structured extraction, latency and per-request cost, and the Flash-by-default, Pro-where-it-matters routing I settled on.