Building Local Agents with Gemma 4's Function Calling
Learn how to implement private, on-premises AI agents using Gemma 4's dedicated Function Calling tokens without relying on cloud APIs.
Production-Ready Function Calling with Gemini 2.5 Pro API — Realistic Patterns for Failures, Timeouts, and Hallucinations
Gemini 2.5 Pro's Function Calling is powerful, but it tends to land in 'works, but does odd things sometimes' territory in production. Here are the design patterns I arrived at running search, reservation, and notification agents.
Custom Gemini API Agent Loop Without ADK — A Complete Production Guide to Tool Calling, Memory, and Parallel Execution
Build production-grade AI agents using Gemini API directly without Google ADK. This guide covers custom agent loops, tool calling patterns, sliding window memory, parallel execution, and battle-tested error recovery strategies.
Firebase Genkit × Gemini API in Production — Design Choices and Gotchas from a Month of Indie Backend Work
Field notes from a month of running Firebase Genkit and Gemini API behind an indie app review-summarization backend. Flow and Tool design, Cloud Functions vs. Cloud Run, real cost and latency numbers, and seven undocumented gotchas.
Gemini × LangChain Integration — Build RAG, Chains & Agents
Complete guide to using Gemini with LangChain. Covers ChatGoogleGenerativeAI setup, prompt chains, RAG pipelines (ChromaDB + Gemini embeddings), and ReAct agent construction.