Technology
Execution Traces
A complete, sequential record of a program's operations: it captures function calls, variable values, and control flow for deep runtime analysis.
Execution Traces are non-negotiable for diagnosing complex software behavior. They provide a granular, chronological log of a program's execution path (control flow, data values, and timing), moving far beyond simple logging. We use them to pinpoint issues like elusive race conditions and subtle memory leaks in production environments. For distributed systems (microservices), tracing tools like OpenTelemetry and Jaeger generate a single, end-to-end trace, mapping latency across dozens of services. This data is critical for performance tuning, enabling teams to optimize code paths and achieve measurable speedups: for example, reducing a 500ms API call to under 100ms by identifying the exact bottleneck function.
What builders pair with Execution Traces
Projects using both technologies. Select a pairing to see a project.
Pairing: AI agents
Debugging AI agents by analyzing their traces
Pairing: Code Analysis
Debugging AI agents by analyzing their traces
Pairing: Debugger
Debugging AI agents by analyzing their traces
Pairing: Invariant Analyzer
Debugging AI agents by analyzing their traces
Recent Talks & Demos
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