Summary
There is a paradigm shift in software engineering, one where changes are driven by real-time telemetry and system insights. As AI agents increasingly participate in software development lifecycle (SDLC) workflows, traditional reactive observability practices fall short in supporting autonomous decision-making and continuous optimization. Read this report to understand how embedding observability as a first-class concern in design, development, and deployment can empower agentic systems to self-diagnose, adapt, and evolve, ultimately transforming software delivery into an intelligent, resilient, and self-sustaining process.
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