From Vibes to Signals: Observing Your AI Coding Workflow

Agentic coding tools like Claude Code and Codex have become integral to software development workflows, shifting from mere assistants to critical dependencies within the production pipeline. This rapid adoption of AI tools has increased the rate of change in development processes, amplifying inefficiencies and necessitating a new approach to observability in coding environments. By leveraging OpenTelemetry data, developers can gain insights into metrics such as token usage, tool latency, and acceptance rates, allowing them to optimize and scale their use of AI tools effectively. The 2025 DORA Impact Report highlights a potential 2.1% productivity increase in individual developers with a 25% rise in AI adoption, though the real value lies in understanding the tools' behavior within workflows. Observability platforms like Coralogix enable teams to treat their development processes as systems, identifying bottlenecks and inefficiencies while correlating AI usage with development performance metrics. This approach allows teams to move beyond intuition, using data to make informed decisions about AI integration and ultimately enhancing the software delivery process.