Mastering Custom Instructions in Gemini Gems — What Actually Works After Two Months of Testing
Custom instructions in Gemini Gems can swing response quality wildly. After running half a dozen Gems for two months, here's what actually moves the needle — and what wastes characters.
Self-Healing Architecture for Gemini Computer Use — Production Patterns That Keep Browser Automation Alive Beyond Day Three
Gemini Computer Use looks magical in demos but breaks daily in production: vanishing elements, surprise modals, network jitter, off-by-four-pixel clicks. This guide builds a five-layer self-healing architecture in Python that classifies failures and recovers them automatically, with working code you can drop into your agent loop today.
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.
9 Patterns for Automating Daily Work with Gemini Gems — Turning Custom Instructions Into Real Tools
Built a few Gems but only end up using one or two? You're not alone. Here are nine patterns that share what actually-used Gems have in common, with the custom-instruction shape for each.
Build an Auto-Documentation Pipeline with Gemini API and GitHub Actions
Tired of outdated docstrings and READMEs? This guide shows you how to build a CI pipeline that uses Gemini API and GitHub Actions to automatically suggest documentation updates on every Pull Request.
Building Self-Critiquing Agents with Gemini API: A Production-Ready Guide to Reflection and Critic-Refiner Patterns
A production-grade walkthrough of Reflection and Critic-Refiner patterns with Gemini 3 Pro and 2.5 Flash. Covers implementation, cost guards, over-correction defenses, and monitoring signals from real deployments.
Safely Migrating Gemini Model Versions with Shadow Traffic — A Production Pattern for Measuring Output Drift
Stop treating Gemini model migrations as a coin flip. This guide walks through a production-ready shadow traffic architecture — duplicate real inputs to the new model, quantify output drift, and cut over progressively. Includes Python and Cloud Tasks code you can ship today.
Gemini × DSPy: Retire from Prompt Craftsmanship — Automated Prompt Optimization
A hands-on implementation guide for combining Stanford's DSPy framework with Gemini to end the era of hand-written prompts. Covers Signatures, Modules, Optimizers, LLM-as-a-Judge metrics, and production pipelines — all with working code.
Monetizing a Solo SaaS on Gemini 2.5 Pro: Pricing, Billing, and Usage-Control Roadmap
A hands-on roadmap for turning a Gemini 2.5 Pro-powered solo SaaS into a monthly revenue business, covering pricing design, Stripe integration, and token usage management.
Gemini vs Claude: An Honest Developer's Review After Using Both Daily (2026)
Not which AI is better — but how they differ in practice. A comparison from someone who uses both Gemini and Claude daily for indie development work, with a task-by-task decision table and a real example of moving one job across both.
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.