Before spending $50K+ on AI coding tools, answer one question: where does your team actually lose time?
Most teams skip this step. They buy Copilot because everyone else has it. Then they wonder why velocity didn't change.
For one sprint, have each engineer log where their time goes:
The category with the most time is where AI tools will have the most impact.
AI tools work better on codebases that:
Consider:
Skip the hype. Start with your actual bottleneck.
The time audit almost always reveals the same bottleneck: the Understanding Tax. Most teams underestimate how much time goes to context acquisition because it's distributed across every ticket.
For the leadership perspective on AI adoption, read What Engineering Leaders Get Wrong About AI Tool Adoption.
Glue addresses the understanding bottleneck that most AI readiness assessments reveal. Start your assessment, measure the Understanding Tax, and see the ROI case for pre-code intelligence firsthand.