Env vars, SST secrets, database overrides, and registry defaults — how we built a unified config service for a monorepo with 8 apps and 100+ variables.
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Blog
Insights on AI-powered support and growing your business from auxx.Ai
Retry strategies, lock renewal recovery, circuit breakers, queue metrics, and graceful shutdown — keeping 20+ BullMQ workers healthy in production.
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A deep dive into the async generator-based agent harness that powers Kopilot — routing, tool execution, streaming, and human-in-the-loop approval.
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How we enqueue jobs, build parent-child processing pipelines with FlowProducer, and manage 25+ cron schedules — with real code from our open-source codebase.
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How installed apps run inside Auxx.ai at runtime — the surface-based extension system, workflow triggers and blocks, caching strategy, access control, and admin governance.
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Queues, workers, and the handler registry pattern — how we structured our BullMQ setup to process email syncs, webhooks, AI jobs, and more.
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How we built apps/build — a standalone developer portal with dehydrated state, JWT auth, tRPC routers, version management, OAuth configuration, and team invitations.
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How we designed the database schema, developer SDK, and iframe sandboxing system that powers the Auxx.ai app marketplace — immutable deployments, build-time schema extraction, and a custom React reconciler over PostMessage.
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The invalidation graph, cross-process staleness detection, distributed locking, and singleton patterns that keep our multi-tenant cache correct in production.
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A deep dive into the dual-layer cache abstraction, scoped services, provider pattern, and type-safe accessors powering Auxx.ai's multi-tenant caching system.
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How we meter AI usage with a credit system, enforce quotas tied to billing plans, track every invocation, and wire it all together in the LLM orchestrator.
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How we built a flexible AI provider system that lets organizations choose between platform-managed credits and their own API keys — from registry design to credential resolution.
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