Prior Product roles at Capital One, Deloitte, JPMC, IBM. Opinions are my own.
#ai #genai #trends #aiecode2025
#ai #genai #trends #aiecode2025
Old: Writer of Syntax (Human-in-the-loop).
New: Orchestrator of Outcomes (Human-on-the-loop).
When code generation is trivial, value shifts from typing to verifying. The engineer now builds the "harness" and context that the AI runs in.
Old: Writer of Syntax (Human-in-the-loop).
New: Orchestrator of Outcomes (Human-on-the-loop).
When code generation is trivial, value shifts from typing to verifying. The engineer now builds the "harness" and context that the AI runs in.
Forget new apps. The highest ROI is using agents to uplift massive legacy codebases at a scale humans simply can't match.
Forget new apps. The highest ROI is using agents to uplift massive legacy codebases at a scale humans simply can't match.
If you only measure velocity, you will drown in low-quality, unmaintainable code.
Smart orgs are shifting metrics from Speed → Rework Rates & Maintainability.
If you only measure velocity, you will drown in low-quality, unmaintainable code.
Smart orgs are shifting metrics from Speed → Rework Rates & Maintainability.
The debate isn't 'can AI code'. It's 'can we trust it?'
Some leaders signaled a critical point of view: You cannot "vibe code" critical systems. You must “earn understanding of the architecture” first.
The debate isn't 'can AI code'. It's 'can we trust it?'
Some leaders signaled a critical point of view: You cannot "vibe code" critical systems. You must “earn understanding of the architecture” first.