Experts outside the code
Everything your experts know reaches the product through an engineer, and that hand-off is where your time goes.
Your scientists, analysts, or clinicians hold the knowledge the product depends on. AI lets them write code now, and your engineers can tell the difference between code that runs and code that ships. Each side thinks the other is the holdup. Hiring more engineers moves the wrong number.
How we'd handle it
Both sides are half right, which is why the argument stays stuck. We're credible with the engineers on what production demands and with the experts on what they're trying to express, so the conversation moves.
From there we help you design the on-ramp: what your experts can own end to end, and what has to be in place before their work lands safely. Packaging the domain workflow as agent skills is one shape that works; the right one depends on your stack. We help you work out what those skills have to cover, then coach both sides until real commits are landing.
Where we've done this
At an early-stage biotech predicting antibiotic resistance, I built the on-ramp and coached both sides until the scientists were shipping code themselves.
Recognize this on your team?
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