The new standard of observability is here. Discover Olly, the industry’s first 
Turn AI coding into measurable performance
Code agents observability
Understand what any of your AI coding agents are actually doing and whether they’re delivering real value. Coralogix unifies usage, cost, and code impact across every model, session, and developer so you can scale AI adoption with confidence.
Make AI work for your engineering organization
Measure what AI
is really delivering
Track code contributions, acceptance rates, and engineering output to see if AI is actually accelerating development.
Connect AI usage to engineering performance
Correlate model activity with key metrics like MTTR, deployment success, and team velocity to understand where AI is driving impact.
Stay vendor-neutral with OpenTelemetry
Capture AI telemetry using open standards across Claude, Gemini, Codex, and future agents. Monitor everything in one place without lock-in.
Unified visibility across all AI agents
Agent behavior and tool usage visibility
Understand how agents operate by analyzing tool usage patterns, prompts, and execution behavior to identify inefficiencies or risks early.
Deep correlation across your engineering ecosystem
Combine AI telemetry with production logs, infrastructure metrics, and tools like GitHub, PagerDuty, and Incident.io to evaluate how AI impacts delivery, reliability, and change performance.
Adoption and usage trends
Track adoption across teams and developers, identify power users and low-usage areas, and drive more consistent and effective AI usage across your org.
Code impact and productivity measurement
Measure commits, pull requests, and AI contribution to code, along with acceptance rates, to understand how well AI output aligns with developer intent.
Cost and governance insights
Break down AI spend by model, user, and session to identify high-cost usage and ensure it aligns with expected outcomes and team behavior.
Scalable observability for your AI agents
In-stream analysis
Continuous, real-time monitoring of AI interactions, detecting risks and performance issues before they impact users.
Infinite retention
Ensures historical AI data remains accessible for long-term trend analysis and deep troubleshooting without data loss.
Cost optimization
Tracks token usage and suspicious resource consumption, helping teams prevent cost overruns while maintaining AI efficiency.
Remote, index-free querying
Lightning-fast searches without the overhead of indexing, ensuring real-time AI observability without unnecessary storage costs.
