Perspectives

When a CTO says "we need to replace our SaaS stack," the conversation usually starts in the wrong place: which vendor, what price, which integrations. That framing assumes the thing being replaced is itself a SaaS product with a comparable substitute sitting in a G2 category page.

Most enterprise engineering organizations are not deciding whether to adopt AI coding agents anymore. That decision is already behind them. What they are actually deciding, often without realizing it, is whether the velocity those agents produced in the first two quarters holds up once the codebase, the team count, and the audit scrutiny all grow at the same time. This piece walks through what has to be true for that velocity to hold, section by section, starting with where specification actually belongs in your delivery lifecycle.