If this is useful, a ❤️ helps others find it. I've shipped multiple apps with AI features. My AI infrastructure cost: $0/month. Here's exactly how — every tool, every limit, every workaround. Free tier: 500 req/day (Gemini 2.5 Flash), no credit card Best for: Strong reasoning, document analysis, code debugging Get it: aistudio.google.com 2. Ollama — Local LLMs Free tier: Unlimited
If this is useful, a ❤️ helps others find it. I run both in production. Here's the real comparison — not theoretical, from actual use building developer tools. Local LLM (Ollama) Gemini API (Free) Cost $0 forever $0 (free tier) Privacy 100% local Data sent to Google Setup Install Ollama + pull model Get API key (2 min) Quality Good (7B), Great (70B) Excellent Speed Fast if model lo
Introduction I've been seeing more developers say that Codex has become easier to use, more cost-effective, or simply a better fit for some workflows than it used to be. This is not a "Claude Code is bad, everyone should switch" article. I still use Claude Code at work, and if cost were less of a factor in my personal setup, I would probably be using both more actively. If you're already comfort
If this is useful, a ❤️ helps others find it. I debug Rust and TypeScript code daily. I've used all three major AI APIs for this — Gemini, Claude, and GPT-4. Here's the honest comparison for code debugging specifically. Not benchmarks. Actual use. I ran the same 5 bugs through each model: A Rust borrow checker error with async context A React state update causing infinite re-render An Android logc
Hello everyone! I wanted to write this article to share my experience with agentic coding without Claude and Codex, I started dabbling with agentic coding a few months ago when Claude had decent limits on the 20$ plan, You prompt the agent: I want e2e tests, and it will study the codebase and implement them. When I've started hitting limits on Claude code, and this is not a secret that they reduc
If this is useful, a ❤️ helps others find it. I've shipped 7 Mac apps in the past year. Every AI feature in them runs on free tools. Here's the exact stack — what I use, why, and where the limits are. What: Gemini 2.5 Flash Preview via REST API Cost: Free tier — 500 requests/day, no credit card Use for: Log diagnosis, document analysis, text classification, anything needing strong reasoning The fr
If this is useful, a ❤️ helps others find it. Everything I keep looking up when building with Gemini — in one place. Model Context Best for gemini-2.5-flash-preview 1M tokens General use, thinking, fast gemini-2.5-pro-preview 1M tokens Complex reasoning, best quality gemini-1.5-flash 1M tokens Stable, production-ready gemini-1.5-pro 2M tokens Longest context gemini-2.0-flash-lite 1M
All tests run on an 8-year-old MacBook Air. Most AI integration tutorials assume you're paying for API access. HiyokoLogcat is built entirely on Gemini's free tier — and designed so users bring their own free API key. Here's what's possible, what the limits are, and how to design around them. Gemini 2.5 Flash Preview: 15 requests per minute (RPM) 1,000,000 tokens per day 250 requests per day For a