Gemini API × Slack Bot in Production — Bolt SDK, Thread Context, and Cloud Run Deployment
Build a production-grade AI Slack Bot with Gemini API and Slack Bolt SDK (Python): thread context management, multimodal support, rate limit handling, and Cloud Run deployment.
Building Production AI Data Pipelines with Gemini API and Apache Airflow: A
Learn how to combine Apache Airflow with the Gemini API to build production-grade AI data pipelines. Covers DAG design, error handling, cost optimization, and monitoring with complete Python code examples.
Building Real-Time AI Event Streaming Pipelines with Gemini API and Apache Kafka: Production
A comprehensive guide to designing and implementing production-grade real-time AI pipelines using Apache Kafka and Gemini API. Covers Consumer Group design, backpressure control, circuit breakers, and cost optimization.
Gemini API on Kubernetes: Deploying Scalable AI Microservices in Production
A complete guide to deploying Gemini API-powered AI microservices on Kubernetes. Covers Dockerization, Secret management, HPA autoscaling, and Prometheus monitoring with production-ready YAML and Python code.
Next.js 15 App Router × Gemini API: The Complete Full-Stack
Build production-grade full-stack AI applications with Next.js 15 App Router and the Gemini API. Covers Server Actions, Streaming, RAG pipelines, authentication, rate limiting, and deployment.
Gemini API × Spring Boot Enterprise Production Guide: Spring AI, Multi-Tenancy, Security & Observability
A complete guide to running Gemini API in production with Spring Boot. Covers Spring AI framework integration, multi-tenant architecture, API key management, async processing, observability with Micrometer/OpenTelemetry, and enterprise testing strategies.
Growing a Customer Support Chatbot with Gemini API: An Implementation Notebook
An implementation notebook for building a production-ready customer support chatbot with Gemini API, covering three-layer system prompts, Function Calling for FAQ lookup, escalation design, and seven pitfalls not covered in the official documentation, drawn from indie developer experience.
Mastering Gemini 2.5 Pro System Instructions — Production-Grade AI Assistant Design Patterns
A deep-dive practical guide to mastering Gemini 2.5 Pro system instructions. Learn persona design, output control, safety guardrails, A/B testing, and version management with full code examples for production environments.
Build a Personal AI Secretary with Gemini API — Task Automation, Email Summaries & Schedule Optimization for Solopreneurs
A complete guide to building a production-grade AI secretary system for freelancers and solopreneurs using Gemini API. Covers Function Calling implementation for task automation, email summarization, and schedule optimization, all the way through Cloud Run deployment.
Gemini API × React Native Operational Notes — Indie Mobile App in Production
Operational notes from running Gemini API inside a React Native/Expo indie mobile app on iOS and Android: real device pitfalls, AdMob coexistence, Cold Start mitigation, AsyncStorage TTL design, and cost realities at 65,000 monthly requests
Firebase Genkit × Gemini API in Production — Field Notes from an Indie Developer Running 50M-Download Apps
Production field notes from running Firebase Genkit and Gemini API on the back end of indie wallpaper and mindfulness apps that cumulatively passed 50M downloads. Covers Flow and Tool design, RAG, deployment, real cost and latency numbers, plus seven undocumented gotchas you only find after a month in production.
Gemini API Observability in Production — Logging, Monitoring, and Cost Tracking Patterns
Learn how to build a robust observability stack for production Gemini API deployments. Covers structured logging, token usage tracking, latency monitoring, and cost optimization dashboards with full implementation code.