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Post #4: Observability 2.0 (Part 2): What Tracing Must Become for Agentic Systems
From Tracing Execution to Tracing Decisions In Part 1, we showed why traditional tracing breaks for agentic AI. Distributed tracing was built to explain pipelines.Agentic systems behave like decision graphs. Tracing today tells us where time went.Agentic systems require us to understand why decisions were made. That is the core shift behind Tracing 2.0. Why…
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Post #2: Beyond Assertions: How Do You Unit Test an AI Agent?
A Motivational Example John built a travel-planning AI agent that worked flawlessly during development.Three weeks after release, users suddenly reported: John’s code hadn’t changed.The foundation model had — and because his tests only checked exact outputs, nothing caught the regression. This is the modern testing problem: You’re not just testing code anymore.You’re testing behavior. Why…