All Articles
Defending Gemini API Apps from Prompt Injection: A Multi-Layer Production Architecture
A four-layer prompt injection defense for Gemini apps: sanitized input, hardened prompts, structured output, and a moderator LLM — with runnable Python.
Gemini × DSPy: Retire from Prompt Craftsmanship — Automated Prompt Optimization
How to move from hand-written prompts to automated optimization with Gemini and DSPy: Signature, Module and Optimizer design, a label audit before you compile, and a script that measures what one compile run actually costs.
Taking Gemini 2.5 Pro Seriously — Where Long-Context Reasoning and Code Generation Earn Their Keep
A solo developer's practical evaluation of Gemini 2.5 Pro across long-context reasoning, code generation, and the Thinking mode — including the tasks where it outperforms competitors and the ones where you're better off routing elsewhere.
to Production Architecture for Gemini API 2026— Design Patterns for Building Scalable, Reliable AI Systems
A comprehensive guide to production-grade design patterns for Gemini API. Covers resilient API clients, multi-layer caching, multi-tenant design, observability, and cost control with complete code examples.
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.
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.
Gemma 4 MoE vs Dense: Architecture Selection and Performance Optimization Guide
Deep dive into Gemma 4's 26B MoE vs 31B Dense: measured benchmarks, use-case selection criteria, quantization strategies, and deployment configurations from edge to cloud.
Connecting Gemini Agents with Google's A2A Protocol: Design, Implementation, and Cloud Run Operations
Build cross-framework agent coordination with the Agent2Agent (A2A) protocol and Gemini API. Agent card design, measured comparison of three coordination patterns, and the operational details that matter on Cloud Run.
Gemini Advanced Reasoning: Practical Strategies for Solving Complex Problems
A systematic guide to unlocking Gemini Advanced's full reasoning and analysis capabilities — covering Deep Research, multimodal reasoning, code analysis, and mathematical reasoning with real-world prompt strategies and examples.
Gemma 4 API Advanced Integration Guide: Hybrid Development with Gemini API
Advanced patterns for using Gemma 4 API alongside Gemini API. Covers Vertex AI deployment, fine-tuning, RAG pipelines, and cost optimization strategies.