[Webinar] The Real Ship vs AI Slop: How Tech Teams Use AI Without Shipping Garbage
Session Overview
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Your team is shipping AI-generated code faster than ever, but without a governance layer, you’re accumulating risk faster than you’re shipping value. In this session, Ethan Cao, CTO of Kaopiz Global, and Sean Trinh, Senior Engineer of Kaopiz Global, will walk enterprise IT leaders through the four structural failures of applying legacy SDLC to AI output, and present the Real Ship Framework: a human-in-the-loop governance model purpose-built for teams that want to move fast and stay stable.
Through a live case study from an agentic EdTech platform built with autonomous AI decision-making, safety guardrails, and full PDPA compliance, you will see what this looks like end-to-end in a production environment.
“You can’t ship AI-generated code the way you ship human-written code. The teams winning with AI have a governance layer, and Kaopiz can help you build it.”
Speakers & Host
Why Join Kaopiz Events
Hallucinated package names are an active supply chain threat most teams haven’t put on the risk register yet. Understand the real exposure, backed by DORA 2025 data.
When AI generates five days of code in two hours, human review becomes the bottleneck. Walk away with a diagnostic you can run against your own team’s workflow.
The Real Ship Framework, Intake & Context, Execution, Validation, Retention, keeps your team at 10x speed without accumulating 10x debt.
See how Kaopiz shipped an agentic EdTech platform with safety guardrails and PDPA compliance in a domain most dev teams have never touched.
Know which metrics actually tell you governance is working, and when to build internally versus bring in a specialist team.
Agenda
10:00 – 10:05
Welcome & IntroductionSetting the stage and session objectives
Why AI-generated code is creating a new class of enterprise risk
10:05 – 10:15
The AI Slop Reality CheckWhat DORA 2025 data shows about AI adoption and delivery instability
Why AI inverts the SDLC bottleneck, and what that means for your team
10:15 – 10:25
Why Standard Code Review Does Not Scale for AI OutputThe 4 structural failures that legacy SDLC can’t catch, with live production examples
Why your current review process may already be a bottleneck
10:25 – 10:40
The Real Ship FrameworkIntake & Context → Execution → Validation → Retention
The KPIs that tell you the governance layer is actually working
10:40 – 10:50
Case Study: Agentic EdTech in ProductionHow Kaopiz shipped an agentic AI platform with safety guardrails and PDPA compliance
Real decisions, real outcomes, real founder feedback
10:50 – 11:00
Live Poll + Q&A & CloseLive results mapped to a practical next step for each cohort in the room
Open discussion and how to get started
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