Senior engineers, brought in differently.

An embedded engineer from Product Studio at CODE is typically inside your team and shipping within one week. There is no recruiting lag: we align on your stack, your goals, and the shape of the engagement in a short fit and scoping call, then your engineer joins the team, the codebase, and the rituals within that same week. They sit in your stand-ups, work in your repository, and communicate in your Slack, like a colleague rather than an external vendor. Because our engineers use AI natively across the entire workflow, not just as autocomplete, they ramp up on an unfamiliar codebase faster than a classical hire and usually land their first production changes within days. Compare that with the months it takes to source, interview, hire, and onboard a senior engineer internally, and the difference is the point: senior capacity this week, not next quarter.

Embedded engineering runs in one of two shapes: an ongoing retainer or a focused sprint engagement. A retainer gives you a clear, predictable block of senior engineering capacity every month, ideal for teams past the first product version that need continuous technical firepower. A sprint is a bounded engagement for a defined push, such as a launch, a migration, or a hard technical problem. Both come with simple, predictable pricing: no timesheet surprises, no hiring overhead, no recruiting fees. You can scale up or down as your roadmap changes without rehiring, switch from retainer to sprints, or end the engagement cleanly. No strings. In every model the engineer works fully embedded: your stand-ups, your repository, your channels, your standards. The code lives in your repository from day one, so nothing is lost if the shape of the engagement changes.

Three things separate an embedded engineer from a classical hire or a classic agency. First, the start: hiring a senior engineer takes months of sourcing, interviews, and onboarding, while an embedded engineer is shipping within one week. Second, velocity: our engineers use AI natively across the whole workflow, from exploration to review, which is why teams see roughly 2 to 3 times the output of a classical senior hire per sprint. Third, proximity: classic agencies throw code over the wall without knowing your context. Our engineers work like forward-deployed engineers: they understand the business problem, sit inside it, and own it end to end, in your stand-ups, your codebase, and your Slack. And unlike a hire, the commitment is flexible: scale up when the roadmap demands it, scale down when it does not, and exit cleanly at any point.