Why Your AI Strategy Is Failing: The AI Paradox of Optimizing Coding Alone

About this episode

Andrew Haschka discusses the failures of AI strategies in software engineering and the importance of a holistic approach to software delivery.

What if faster coding is actually slowing your software delivery down? Most teams are pouring AI into the coding phase, but the real bottleneck is everywhere else. In this episode, Andrew Haschka, Field CTO at GitLab for Asia Pacific and Japan, explains why most AI strategies in software engineering are failing and what it takes to fix them. He introduces the AI paradox: teams invest heavily in AI-assisted coding, yet coding accounts for less than 20% of the software delivery lifecycle, leaving the biggest bottlenecks untouched. Andrew makes the case for intelligent orchestration — moving from isolated AI interactions to governed, end-to-end agentic flows that span planning, coding, testing, security, compliance, and release. He shares how a unified system of record forms the foundation for high-quality AI outcomes, and why fragmented tools and siloed context actively limit what AI can deliver. Drawing on real customer examples — including Ericsson’s 50% faster deployments and 130,000 hours saved in six months — he shows what a holistic approach actually looks like in practice. The conversation also covers how tech leads, developers, and junior engineers need to evolve their…

People in this episode

Host: Henry Suryawirawan

Guest: Andrew Haschka

Topics covered

• AI strategy
• software delivery
• coding optimization
• intelligent orchestration
• governance
• competitive advantage

Keywords

• AI paradox
• software engineering
• coding phase
• bottlenecks
• end-to-end flows
• skill evolution
• governance

Mentioned in this episode

Organizations: GitLab, Ericsson

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