Debug live production code without redeploying with Datadog Live Debugger

Datadog’s Live Debugger is presented as a way for developers to investigate production-only bugs without modifying code, restarting services, or waiting through review and deployment cycles. It uses temporary, expiring logpoints attached to running services to capture variables, method arguments, execution context, and targeted snapshots, including in third-party library code, enabling teams to observe how real requests, configurations, feature flags, and dependency responses affect behavior. Conditional logpoints limit collection to relevant cases, while sensitive-data scrubbing, configurable scanning, audit trails, and automatic expiration support security and compliance requirements. The post also describes how Bits AI can use linked source code and a plain-language problem description to identify relevant locations, place logpoints across possible code paths, analyze production evidence, test several hypotheses in parallel, and propose a code fix supported by captured runtime data. Datadog plans to extend this workflow to its MCP Server and offers access through a Bits Live Debugger preview.

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