Each team's own AI rules
Your backend and frontend teams have each set their own standards for agentic coding, and they're drifting into silos.
Each group is sure their standards are better, and now AI agents are writing code inside every one of them.
How we'd handle it
We help you find the shared ground the disciplines can actually meet on: what needs to be common across the codebase, and what's fine to keep different. Then what it takes to get there: what you'd have to build, and what you can bring in. We get the teams to agree, and make it hold for both the engineers and the AI agents writing code.
Where we've done this
At Line5, a physical-AI robotics company, I built exactly that kind of shared ground across several disciplines who could barely agree on what good code looked like.
My time at Ultima Genomics, a DNA-sequencing startup, went as much on getting the engineers and the biologists onto a shared vocabulary as it did on writing code. I built a Rust bridge between their ML training tools, which took knowing both sides well enough to make them fit.
Recognize this on your team?
Let's talk