Is AI giving your team an adrenaline rush... or an Arch-Nemesis? The 'Velocity' vs. 'Verification' Problem

General
1

We’re all using AI code assistants now, that’s settled. But I’m seeing a toxic pattern: Management sees Copilot adoption and immediately hikes velocity goals, believing it’s a 2x-4x multiplier on output. The reality I’m living is: a 2x speed boost on boilerplate, followed by a 3x increase in time spent reviewing, refactoring, and debugging subtle edge-case hallucinations and code that works, but lacks the necessary architectural context. The real bottleneck is shifting from writing code to verifying AI-generated code.

What is the real, measurable impact of AI assistants on your team’s:

  1. Net Velocity (features shipped end-to-end)?

  2. Code Quality/Tech Debt accrual?

  3. Required Seniority for code review?

2

It’s a gold rush for boilerplate debt. We sped up for 3 months, then spent 6 cleaning up subtly broken auth logic the LLM ‘solved.’ The cost is paid in production outages. :man_facepalming:

3

My company just hired a ‘Prompt Engineer’ for six figures. The suits think AI is a magic wand. Our next sprint goal is 50% faster. I’m updating my resume. Welcome to the show.