2h ago · 4 min read · Honeycomb just shipped MCP integrations for Claude Code, Cursor, and AWS DevOps Agent. The pitch: let AI agents query production telemetry, investigate incidents, and set up monitoring automatically. It's a smart move. SVP of Product Graham Siener fr...
Join discussion8h ago · 3 min read · Amazon's AI Agent Took Down Checkout for Six Hours. Nobody Saw It Coming. Last week, Amazon's retail site had four Sev-1 incidents in a single week. The worst one: a six-hour outage that locked customers out of checkout, account information, and prod...
Join discussion14h ago · 3 min read · 100% of Enterprises Plan to Deploy Agents. 0% Can Stop a Cascade. A Kiteworks survey of 225 security, IT, and risk leaders found something uncomfortable: every single respondent has agentic AI on their 2026 roadmap. Most can monitor what their agents...
Join discussion18h ago · 8 min read · Modern backend systems rarely run as a single application on a single server anymore. Today’s systems are distributed, run across multiple services, and operate in different regions and infrastructure
Join discussion20h ago · 3 min read · OpenAI bought Promptfoo last week. Terms undisclosed, but the startup was valued at $119M and used by over 25% of Fortune 500 companies for AI red-teaming and security testing. The logic makes sense: Promptfoo finds prompt injections, jailbreaks, dat...
Join discussion1d ago · 8 min read · How React Error Boundaries Saved us TL;DR Problem: Stakeholders hit a black screen on a new feature. We couldn't reproduce it locally and had zero visibility into the error.Solution: Wrapped the scre
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1d ago · 4 min read · Researchers just published the first systematic taxonomy of multi-agent system failures. They analyzed 1,600+ failure traces across seven frameworks and identified 14 distinct failure modes. If you run multiple AI agents in production, this paper tel...
Join discussion1d ago · 11 min read · TLDR: Production ML reliability depends on joining inference serving, data-quality signals, and rollback automation into one operating loop. TLDR: This dedicated deep dive focuses on the internals, failure behavior, performance trade-offs, and rollou...
Join discussion1d ago · 11 min read · TLDR: Canary deployment is useful only when the rollout gates are defined before the rollout starts. Sending 1% of traffic to a bad build is still a bad release if you do not know what metric forces rollback. TLDR: Canary is the practical choice when...
Join discussion1d ago · 25 min read · This article shows how to build end-to-end, code-first LLM observability in a FastAPI application using the OpenTelemetry Python SDK. Instead of relying on vendor-specific agents or opaque SDKs, we wi
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