Host Amir Khan, Co-Founder & COO of PureLogics, talks with Patrick Gardella, CTO & SVP of Technology at Monstar Lab, about what actually changes when AI joins the team — not in theory, but in the day-to-day of running engineering orgs for Fortune 500-scale clients.

Patrick explains why AI is a more fundamental shift than cloud or mobile, how tool fragmentation (Copilot here, ChatGPT there, Claude somewhere else) quietly creates silos in large organizations, and how Monstar Lab keeps institutional knowledge shared instead of trapped in someone's private prompt history.

He also gets specific: 80-90% of code written by AI on some client teams, why token-maxing is the wrong KPI, how a "trust but verify" fact-checking process catches hallucinations before they reach a client, and why junior developers need to grow into domain expertise and system architecture rather than just writing code.

In this episode:

• Why AI is a more fundamental shift than cloud or mobile

• How to stop AI tools from fragmenting into team silos

• What percentage of code AI is really writing (and when it isn't)

• Managing AI-related tech debt and production bugs

• Keeping agentic AI costs under control without sacrificing output

• A practical process for catching AI hallucinations

• Meeting HIPAA/GDPR compliance with AI-generated code

• Why junior engineers need domain knowledge more than ever

• The biggest misconception executives have about AI adoption