AI coding agents fail because they don't understand your system.
OpenTrace supercharges tools like Claude, Cursor, and Windsurf with DevOps-grade awareness of your entire codebase and runtime behavior.
You can now build and enhance production software safely with AI.
OpenTrace creates a multi-layered neural network and context aware knowledge graph of your systems
OpenTrace continuously maps your entire codebase - repos, services, classes, and dependencies - and builds a real understanding of how everything connects.
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Every service, function, and dependency mapped in real-time as you commit code.
This gives AI and engineers the ability to see the true impact of a change before it ships. No more accidental breakages. No more tribal knowledge bottlenecks.
Deployments, traces, logs, infra state, performance metrics, and tickets are unified into the same model - all tied back to the code and services that drive them.
Live performance data, deployment state, and operational metrics - all connected to the code that powers them.
You can see exactly why something is slow, fragile, or breaking and what will happen if you touch it.
AI that understands your entire tech stack
Large changes, refactors, new services, migrations - they’re no longer bets. Gartner indicates that 90% of enterprise engineers will use AI coding assistants by 2028. OpenTrace shows exactly what will change and how behavior will shift before anything hits production. Ship faster, with dramatically fewer incidents.
By 2028, 40% of new enterprise software will be built using vibe-coding techniques (Gartner). Vibe engineers move quicker because they see the whole system. OpenTrace eliminates digging, Slack-pinging, manual code archaeology, and tribal knowledge bottlenecks turning days of investigation into seconds. The result: high-velocity engineering that stays safe.
By context mapping how your entire system behaves OpenTrace can spot weak links and failure chains before they become incidents. Teams with deep system context deploy up to 200× more frequently with 3× fewer failures (Google Cloud DORA Report 2023).
The context layer is the key differentiator – linking code, tools, and data into actionable insight (Gartner)
Issues, comments, and user activity from GitHub, GitLab, Linear, and Jira. OpenTrace understands why decisions were made - not just what changed.
Repos, files, classes, and functions from GitHub, GitLab, and Bitbucket. OpenTraces understands how your system is built, not just isolated files.
Clusters, namespaces, and deployments from AWS, GCP, and Kubernetes. OpenTrace understands the real topology - not just what’s in Git.
Real-time observability from Grafana, Datadog, and Dash0. Performance signals, latency paths, and errors are tied directly back to the code and services involved. OpenTrace learns how your system performs under real traffic.
