#S2.18 Agentic Engineering Needs Better Planning, Not More One-Shotting - Yenny Cheung (Bluefish AI)
Notes de l’épisode
Yenny Cheung, VP Engineering at Bluefish, joins us to discuss what agentic engineering looks like when quality, compliance and customer trust are non-negotiable. She explains why daily AI briefings can be valuable even when imperfect, why one-shotting complex work fails, and why teams need to move more alignment into the planning stage.
We also cover a practical operating model for business-owned skills: engineering owns the CI/CD pipeline, isolated environments and deterministic checks while customer-facing teams own the workflows closest to their problems. Yenny shares how Bluefish scopes a KTLO agent, monitors model cost and thinks about outcome metrics beyond raw output.
Finally, we discuss Claude Artifacts, generative interfaces and the enduring value of taste: knowing what good looks like is still the human work.
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