When your Gemini API spend cap trips, paying users go down too — isolating the blast radius with per-tier projects
A Project Spend Cap stops the entire project at once. To keep a runaway free tier from taking paying users down with it, this is a design note on isolating the cap's blast radius across per-tier projects and closing the ~10-minute delay with an application-side soft budget gate.
Should You Move Your Agent Loop to Gemini's Managed Agents? Three Questions That Decide What Migrates
With Gemini API's Managed Agents in public preview, deciding between a self-hosted agent loop and a Google-hosted sandbox is now a real question. Three questions — execution environment, state ownership, and failure recovery — decide what migrates and what stays.
Restarting a Long Agent Run From Where It Broke — A Step-Ledger Design for Gemini 3.5 Flash Long-Horizon Tasks
Gemini 3.5 Flash is good at long-horizon tasks, but when a 40-step run dies on step 29, you usually start over. An append-only step ledger gives you resume, idempotency, and audit in one place. Here is the design with working Python and measured results.
Don't Break When the Default Model Moves: A Startup Capability-Probing Layer for Gemini
Pinning a model name breaks on deprecation; trusting the default breaks when the weights swap silently. This is the design I settled on: probe what the served model can actually do at startup, then build every request from that answer. Includes runnable Python.
Bulk Processing Without the 429s: Adaptive Concurrency for the Gemini API
Pushing tens of thousands of requests through the Gemini API with a fixed concurrency almost always produces 429s and dropped items. Here is an AIMD design that auto-tunes concurrency from the 429 feedback, with a bounded worker pool, a dead-letter queue, and resumable checkpoints.
The Day You Switch Gemini Embedding Models: Designing a Zero-Downtime Reindex
Upgrade your embedding model and every vector you ever stored becomes incompatible. Here is a dual-index design for re-embedding hundreds of thousands of vectors without downtime, complete with a resumable reindex job and a query-side abstraction layer.
Layering Gemini API Response Caches in Three Tiers — How I Split Memory, Redis, and Context Cache
Notes from running a three-tier cache (in-memory, Redis, Gemini Context Cache) in front of the Gemini API for six weeks across a wallpaper app — actual hit rates, billing impact, and the invalidation traps that ate me alive.
Coalescing Gemini API Requests with SSE Fan-out: Collapsing 100 Simultaneous Hits into a Single Call
How I rebuilt the post-push-notification thundering herd on a 50M-download wallpaper app into a Cloudflare Durable Objects coalescer with SSE fan-out, cutting Gemini API costs by 92% with 14 days of production telemetry.
SwiftData × Gemini API Offline Response Cache — Persisting and Reusing AI Responses on iOS
Design a SwiftData-backed cache layer for Gemini API responses so your iOS app keeps working in airplane mode and on flaky networks. Covers @Model schema, invalidation strategy, store-size discipline, and migration — all from production iOS experience.
A Gemini API Control Plane for Indie Developers Running an App Portfolio
When you run several apps (wallpaper, healing, manifestation) on Gemini API, keys scatter and per-app cost attribution disappears. This is the three-layer control-plane architecture I have used for twelve months, with the traps that only show up over time.
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.
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.