All Articles
Fixing Gemini API Rate Limit Errors: A Complete Troubleshooting Guide
How to handle Gemini API 429 Too Many Requests and RESOURCE_EXHAUSTED errors. Covers exponential backoff, batch processing strategies, and practical patterns for staying within rate limits.
Gemma 4 × OpenCode Advanced Guide: Building a Production-Ready Local AI Dev Environment
Move beyond 'it works' with Gemma 4 and OpenCode. A deep guide to model selection, context management, prompt design, and hybrid cloud-local workflows for real-world development.
Building a B2B Business Automation SaaS with Gemini 2.5 Pro Function Calling — Revenue Blueprint
A complete guide to building and selling B2B business automation SaaS using Gemini 2.5 Pro Function Calling. Covers API architecture, multi-tenant design, pricing strategy, and the sales process that closed first contracts within 3 weeks of demo.
Choosing the Right Gemini RAG Pattern in 2026 — Simple vs Advanced vs Agentic, Compared with Real Code
Compare three RAG implementation patterns with the Gemini API — Simple, Advanced, and Agentic — using real code examples. Learn which pattern fits your use case and where to start.
Gemini 2.5 Pro in Production: The Pitfalls Nobody Talks About
A practical guide to the production-specific problems with Gemini 2.5 Pro—rate limit architecture, Thinking mode cost control, long-context quality management, and response quality diagnostics—with complete code examples.
Gemini 3.1 Pro: An Indie Developer's Honest Review After 3 Months of Daily Use
A genuine assessment of Gemini 3.1 Pro from someone who uses it daily: what improved over 2.5 Pro, 15 tasks where it excels, 5 where it falls short, and how to split work with Claude Opus 4.6.
Gemma 4 × OpenCode: Build a Free Local AI Coding Environment in 10 Minutes
Combine Google's open Gemma 4 model with the OpenCode terminal agent and you get a fully local, zero-cost AI coding environment ready in 10 minutes. Here's the setup and an honest take on the experience.
Putting Gemini 2.5 Flash Thinking Mode to Work: Reading the Cost-Accuracy-Speed Tradeoff
After three months of testing Gemini 2.5 Flash's Thinking Mode on real projects, here's what actually works: which tasks benefit, which tasks waste budget, and how to build a cost-aware switching layer.
Two Weeks Until Google I/O 2026: What Gemini API Developers Should Prepare Right Now
With Google I/O 2026 just around the corner, here's what developers running Gemini API in production should do this week — from pinning model versions and recording baselines to tracking deprecation timelines before the announcements hit.
Gemini 3 Deep Think Not Working as Expected: 5 Common Issues and Fixes
Troubleshoot Gemini 3 Deep Think mode issues systematically. From API misconfiguration and timeouts to unexpected costs and missing thought summaries — 5 real-world problems with working code fixes.
When Gemini API Output Seems Wrong: 7 Common Causes and a Diagnostic Checklist
When Gemini API returns unexpected output — empty responses, wrong language, broken JSON, or Thinking content leaking into answers — here are 7 common causes with a practical diagnostic checklist and code examples.
Cutting Gemini API Costs by 80%: Context Caching and Implicit Caching
A hands-on guide to reducing Gemini API costs by 80% using Context Caching and Implicit Caching. Includes decision frameworks, working code examples, and a troubleshooting checklist for when caching stops working in production.