Running Streamlit + Gemini as a Production BI Dashboard — Auth, Cost, Caching, Rate Limits, Observability
A design memo for promoting a Streamlit + Gemini data analysis app into a real multi-user internal BI dashboard — authentication, cost optimization, result caching, per-user rate limits, and observability, all from production experience.
Taming Gemini API Tail Latency with Request Hedging: A p99 Design Notebook
A four-month operational journal of taming Gemini API tail latency with hedged requests across a production indie app portfolio. Includes measured p50/p95/p99 numbers, a working Swift and TypeScript implementation, and the cost-control parameters that kept monthly billing growth under 18%.
Why Your Gemini File API Uploads Vanish After 48 Hours — and How to Code Around It
Gemini File API resources are auto-deleted 48 hours after upload. Here is how to recognize the failure, why it happens, and concrete patterns for re-uploading, falling back to inline data, and managing expiration safely.
Gemini API × Sentry: A Production Pipeline for LLM Error Tracking and Prompt Failure Observability
Pair Sentry's error tracking with Gemini-specific failure modes so you can catch safety filter blocks, recitation rejections, empty completions, and quiet latency drift in production.
When Gemini API Streaming Cuts Off Mid-Response in Production: The Diagnosis Order I Run
How I diagnose mid-response cutoffs in Gemini API streaming - the order I check network, SDK, and server-side suspects, with real cases from indie production.
Designing Around the Gemini 2.0 Flash Deprecation Without Letting It Disrupt Indie Development: My May 2026 Risk-Distribution Notes
How I rebuilt my indie-development jobs to absorb the Gemini 2.0 Flash deprecation: a provider abstraction, a nightly old-vs-new diff batch, fallback-rate instrumentation, real cost numbers, and an August follow-up on what the migration actually cost.
Idempotency Key Design for the Gemini API: Patterns I Use to Prevent Duplicate Generation Across Six Sites
After five months of running six AI-driven sites in parallel, I built an idempotency layer in front of the Gemini API to neutralize retry storms. This deep dive shares the SHA-256 + Cloudflare Workers KV design, the operational numbers behind it, and the four gotchas that only surface in production.
Why Gemini API Returns Empty Responses with finishReason: RECITATION, and the Prompt + Post-Processing Design That Stopped It
Run a Gemini content agent long enough and one day logs fill with finishReason: 'RECITATION' and empty content arrays. This is the verbatim-quotation safety system firing. Here is the prompt rewriting pattern and TypeScript post-processor I deployed across six auto-publishing pipelines at Dolice — it dropped my incident rate by 90%.
Designing a Continuous Quality Monitoring Pipeline for the Gemini API
A practical, indie-developer-friendly design for a Gemini API evaluation pipeline that catches silent quality regressions using a Golden Dataset and a multi-aspect LLM-as-Judge, with full code and real cost numbers.
Wiring Circuit Breakers and Graceful Degradation into Gemini API — an Indie App's Stability-First Notes
When you run Gemini API in production for an indie app, something upstream breaks at least a few times a month. Here are the building blocks for circuit breakers and graceful degradation I settled on, with the implementation traps I actually hit.
Turning my own artworks into 120 wallpaper variants in 30 days with Gemini 3.2 Pro and Imagen 4 — an artist-developer's content supply pipeline
A 30-day production log of building a pipeline that takes one of my own paintings and expands it into a 120-piece wallpaper series, using Gemini 3.2 Pro for structural analysis and Imagen 4 for variations. Includes real costs, quality gates, and downstream app KPIs.
Building a RAG Evaluation Framework with Gemini API: RAGAS, LLM-as-Judge, and Custom Metrics Production Masterclass
Complete guide to building a quantitative RAG evaluation framework using RAGAS, LLM-as-Judge with Gemini API, and custom domain metrics — including CI/CD integration and production monitoring.