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I refactored Alex into my personal banking assistant under strict time constraints.

It worked enough for a demo, but the approach created avoidable complexity.

What I did

• Reused an existing codebase optimized for a different architecture.
• Pushed rapid changes with large context windows and mixed-model workflows.
• Prioritized delivery over structural cleanup.

Problems I hit

• Legacy resource names leaked into new domains.
• Old workflow fragments remained active after redesign.
• Infrastructure refactors required deeper recoding than expected.

What I would do differently

• Start with an architecture map and deletion plan.
• Rebuild core Python flows from clean boundaries.
• Re-validate Terraform modules against the target domain before reuse.

Takeaway

Plan first, then accelerate. AI tools amplify your approach, including flawed assumptions.