How to Govern Coding Agents as Adoption Scales

Fiddler AI
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As coding agent adoption scales across the organization, business and security stakeholders share common concerns around code quality, review capacity, codebase comprehension, cost, return on investment, sensitive data exposure, and governance. The Fiddler AI Control Plane turns telemetry from coding agent sessions into operational and behavioral insights that help teams address these concerns. What You'll Learn: – Gather telemetry from coding agent sessions using Fiddler’s Claude Code plugin. – Explore traces, sessions, and turns to understand agent behavior. – Track model use, cost, token consumption, and cache hit ratios, and spot cost inefficiencies and deviations from baseline. – Evaluate instruction adherence, test tampering, code quality, prompt injection susceptibility, sensitive information access, and agent loops. – Investigate trends by looking at contributing traces and detailed evaluation results. Timestamps: 0:00 Coding agent adoption and common concerns 0:23 Gathering telemetry with Fiddler’s Claude Code plugin 0:56 Exploring agent traces, sessions, and turns 1:31 Operational dashboards 1:53 Identifying cost efficiencies and deviations from baseline use 2:30 Behavioral evaluation dashboards 3:02 Exploring traces and detailed evaluation results 3:28 Closing remarks

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