Wiring AI agents into GitHub, Jira, and alerting
An AI agent that can only chat is a demo. One that can read your repo, your tickets, and your alerts, and act on them, is a coworker. A practical look at the integration work that gets you there.
Short, opinionated writing on observability, applied AI, and the engineering practices that make both hold up under load.
An AI agent that can only chat is a demo. One that can read your repo, your tickets, and your alerts, and act on them, is a coworker. A practical look at the integration work that gets you there.
Pasting a /metrics scrape into a model sounds easy until you watch the token counter. The costs, failure modes, and shapes that actually work.
OpenTelemetry has been quietly reshaping observability for years. OTLP, its wire protocol, is the part that actually changes how engineering teams build telemetry pipelines.
LLM features fail in different shapes than HTTP services. Here's a working open-source stack, OpenLLMetry, Langfuse, Phoenix, and how they fit together.
Most production RAG systems get to demo, then quietly underperform. The model isn't the bottleneck, retrieval is. Here's what reliably moves the bar.