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system-design
8 postsHow to Build Incident AI That Engineers Actually Trust
An incident-detection AI lost engineer trust by reasoning before context. Adding deploy tracking and a context graph raised hypothesis accuracy from 35% to 70%.
aiincident-responseobservabilitysreDeployment Status Is Actually a Distributed Systems Problem
Drawing on Guara Cloud's build experience, this piece explains why 'pending' labels fail and how deployment status must be modeled as evidence-based distributed state.
distributed-systemspaaskubernetesdeploymentLLM agents are breaking 20-year-old web architecture
Stateful LLM agents are exposing cracks in the stateless-server-plus-database web architecture. The missing piece: a routing primitive that can address running processes directly.
system-designllmai-agentsdistributed-systemsNetflix Unveils Slow-Fast Architecture for Notifications
Netflix built a hierarchical notification system inspired by Kahneman's fast/slow thinking model, decoupling long-term pacing strategy from real-time message selection.
netflixpersonalizationrecommendation-systemsmachine-learningTeaching AI to Read Compliance Papers, Not to Decide
A two-stage AI pipeline reads SMS compliance documents field by field, while a deterministic rule engine — never the model — makes every approve, reject or review decision.
aicomputer-visioncompliancellmSub-Second Execution: Inside a Polymarket Trading Bot's Design
A deep look at a Polymarket bot's execution stack across 11,717 trades: signal generation, EIP-712 signing, CLOB API calls, and on-chain confirmation latency.
trading-botspolymarketlatencyblockchainMigrating à-la-carte billing to plans-only in four safe phases
A SaaS moved from per-feature billing to plans-only using an expand-migrate-contract approach across four phases, avoiding downtime. Practical lessons for engineers.
saasbillingmigrationslaravelLayer-First Pattern Cuts LLM Overload in Map Generation
RidgeText stores map layers server-side instead of passing raw GeoJSON to the LLM, cutting tool-call context from roughly 125,000 tokens down to about 150.
llmgeojsonmapboxtool-calling