Gemini 2.5 Pro & Python Async Mastery: Building High-Throughput Production API Systems
Master asyncio, parallel batch processing, and rate limit management to unlock Gemini 2.5 Pro's full potential. From async clients to streaming, checkpointing, and production observability — all with working code.
Gemini API 503 Service Unavailable Error: Causes, Fix, and Retry Implementation
Learn why Gemini API returns 503 Service Unavailable errors and how to fix them with exponential backoff retry logic. Includes ready-to-use Python and JavaScript code examples.
Automating Accessibility Audits with the Gemini API — A Design That Survives False Positives
Build a WCAG 2.2 audit pipeline with the Gemini API. Separate what can be measured from what needs judgment, then use structured output, baseline diffing, and tiered CI gates to keep false positives from killing the practice.
Gemini API × PostgreSQL Complete Implementation Guide — Building an AI-Driven Database Optimization System for Production
A complete production-ready guide to automating PostgreSQL optimization with Gemini 2.5 Pro — covering Text-to-SQL generation, EXPLAIN plan analysis, index recommendations, and schema reviews using Python and FastAPI.
Gemini API SDK Version Mismatch & Install Errors: How to Fix Them
A step-by-step troubleshooting guide for Gemini API SDK install failures and version mismatch errors in Python and Node.js projects.
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.
Gemini API × Google Analytics 4: AI-Powered Business Intelligence — Anomaly Detection, Forecasting & Automated Reporting
Learn how to connect Gemini API with the GA4 Data API to build a production-ready BI pipeline featuring natural-language queries, anomaly detection, automated weekly reports, and Slack alerts.
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.
Automating App Store Reviews with Gemini API and App Store Connect API: Implementation Notes from Running 50M-Download Apps
Implementation notes for combining Gemini API and App Store Connect API to handle review sentiment analysis, reply drafting, competitor monitoring, and weekly ASO reports in Python. Includes lessons learned from running indie apps with over 50 million cumulative downloads.
Building a Production RAG System with Gemini Embedding API and Pinecone
A step-by-step guide to building a production-ready RAG system using Gemini Embedding API and Pinecone. Covers index design, query optimization, chunking strategies, and cost management with practical Python code.
Automate AI Workflows with Gemini API and n8n
Learn how to connect Gemini API with n8n to automate AI-powered workflows. From basic HTTP Request nodes to advanced AI Agent setups — with practical code examples throughout.