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reliability
23 postsEvaluations Are Measuring the Wrong Thing
Most evaluations do not measure the reliability of AI models in production. Here are suggestions for accurate assessment.
A Year of Cloud Agents: Why Environment and Durability Matter Most
How cloud agents evolved from ported local agents into a full operating layer, covering environment setup, Temporal-based durability, and harness design lessons.
How Airbnb Broke Circular Dependencies in Its Observability Stack
Airbnb engineers explain how they eliminated circular dependencies in their metrics pipeline using dedicated Kubernetes clusters and a custom Envoy-based networking layer.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comStopping AI Hallucinations: Focus on System Design, Not the Model
BlazePhoenix engineering proposes changing system design to prevent AI hallucinations.
Building a Modbus Proxy That Never Silently Serves Stale Data
A deep dive into hardening a self-built Modbus caching proxy for Huawei SDongle inverters against night-time disconnects, hanging reads and silent stale data.
Blameless Postmortem Template for AI Agents
The blameless postmortem template enhances evidence quality in incident reviews for autonomous agent systems.
The Acknowledgment Gap in Event-Driven Systems: A Hidden Risk
Learn about the acknowledgment gap in event-driven systems and how to prevent message loss.
Hazshield AI: I Killed the Database, the Alarms Survived
A Rust-based industrial gateway processed 10,000 sensor readings per second while its database was deliberately killed mid-test, ending with zero lost alarms and zero request errors.
The 10 most expensive software failures and what they share
From Knight Capital to Boeing 737 MAX, Therac-25 to CrowdStrike: examining the 10 costliest software failures in history and their shared root cause.
Building Reliable Production AI with Durable Workflows
The significance of durable workflows in enhancing reliability in production AI systems.