Potpie trace

Debug Production Systems at the speed of thought

Potpie is built around atomic, task-specialized agents engineered for enterprise-grade reliability. Engineering intelligence that actually ships.

Potpie Trace

Potpie Trace investigates production incidents using the existing knowledge graph as an operational specification. It reduces the grep tax by constraining analysis to services, contracts, and configurations relevant to the failure.

  • Causal graph traversal: Traverses service call graphs to assess, upstream and downstream impact.

  • Contract and state validation: Compares live requests, API/schema, contracts, and deployment baselines to detect deviations.

  • MCTS-inspired hypothesis search: Builds and evaluates, branching investigation trees in sandboxed environments.

Trace benefits(tbd)

Trace benefits(tbd)

Near-zero grep tax

Trace brings system context to the center of incident investigation. Powered by a continuously updated knowledge graph of your architecture, it guides engineers directly to the highest-signal failure paths, dramatically reducing time spent grepping across logs and dashboards.

Near-zero grep tax

Trace brings system context to the center of incident investigation. Powered by a continuously updated knowledge graph of your architecture, it guides engineers directly to the highest-signal failure paths, dramatically reducing time spent grepping across logs and dashboards.

Near-zero grep tax

Trace brings system context to the center of incident investigation. Powered by a continuously updated knowledge graph of your architecture, it guides engineers directly to the highest-signal failure paths, dramatically reducing time spent grepping across logs and dashboards.

Automated feedback Loop

Trace closes the loop between production and development by feeding validated root-cause insights back into the coding workflow. Teams catch recurring failure patterns earlier and prevent the same class of bugs from reaching production again.

Automated feedback Loop

Trace closes the loop between production and development by feeding validated root-cause insights back into the coding workflow. Teams catch recurring failure patterns earlier and prevent the same class of bugs from reaching production again.

Automated feedback Loop

Trace closes the loop between production and development by feeding validated root-cause insights back into the coding workflow. Teams catch recurring failure patterns earlier and prevent the same class of bugs from reaching production again.

Ready to experience engineering without the grind?

Start using Potpie and let agents handle the complexity while your team focuses on impact.

Ready to experience engineering without the grind?

Start using Potpie and let agents handle the complexity while your team focuses on impact.

Ready to experience engineering without the grind?

Start using Potpie and let agents handle the complexity while your team focuses on impact.

Spec driven development for large scale engineering

© 2026 Potpie. All rights reserved.

[CODEBASE Q&A AGENT]

Spec driven development for large scale engineering

© 2026 Potpie. All rights reserved.

[CODEBASE Q&A AGENT]

Spec driven development for large scale engineering

© 2026 Potpie. All rights reserved.

[CODEBASE Q&A AGENT]