All Articles
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.
What Gemini Code Assist's Free Plan Actually Gets You: A Clear-Eyed Breakdown
Gemini Code Assist is free for individual developers — but what does that really mean? Here's an honest breakdown of the free plan's quotas, supported features, and how it compares to GitHub Copilot Free.
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.
Google ADK Callbacks & Guardrails: A Complete Production Guide to Agent Monitoring and Safety Control
Learn how to implement Google ADK Callbacks and Guardrails to monitor and control AI agent behavior in real time. Covers custom logging, safety filters, cost control, and quality assurance with production-ready, verified code examples.
Building a Production RAG System with Gemma 4: Local LLM + Vector Search Architecture
A complete guide to building production RAG systems with Gemma 4, ChromaDB, and pgvector. Covers architecture design, chunking strategies, Long-Context RAG using the 256K window, hybrid search, and performance optimization.
When Gemini Gems Ignore Your Instructions or Refuse to Save
Gemini Gems ignoring your custom instructions, failing to save, or resetting mid-conversation? This guide covers all 7 common issues with specific causes and fixes, plus a practical template for building Gems that actually work.
Veo API Not Working? Common Errors and How to Fix Them
Troubleshoot common Veo API errors including polling implementation mistakes, safety filter rejections, quota exceeded, and video file download failures. With working Python code examples.
Gemini API Embeddings vs Vector Databases: Pinecone, Qdrant, pgvector, and Cloud Spanner Compared for Production
Benchmark Pinecone, Qdrant, pgvector, and Cloud Spanner Vector using Gemini text-embedding-004 with real latency, cost, and code. The definitive production selection guide.
Integrating Gemini Code Assist into VS Code
Most VS Code developers use Gemini Code Assist with default settings. Learn prompt engineering, context caching, and proper configuration to triple your coding speed.