Custom Software Development

A small senior team that joins your product work and builds your software: a senior developer and a QA specialist, plus a business analyst when requirements are unclear. They work in an AI delivery environment we set up around your product (your codebase, backlog and acceptance criteria), inside an AI-first process combined with established QA practice. The senior developer directs it, QA checks every change against your criteria, and everything they produce stays in your repo.

No. Staff augmentation gives you engineers you direct ticket by ticket. An AI forward-deployed team joins your product work and builds your software: you agree the scope and write the acceptance criteria before work starts, the QA specialist in the team checks each change against them, you see the result in regular demos, and code, tests and release documentation stay in your repo. If what you need is open-ended extra hands, augmentation is the better fit.

Many forward-deployed engineering offers focus on getting one AI system live. Our AI forward-deployed team builds your software: the backlog items you choose, with a QA specialist inside the team who checks every change against acceptance criteria you write, and code and tests left in your repo.

What is agreed and how it is judged. The backlog and your acceptance criteria are agreed before work starts, a change counts as delivered only when it passes them, a QA specialist checks every change, and the code, tests and release documentation stay in your repo. It is the format we already run with current clients.

It depends on the scope. The usual path is a scoped pilot on one feature, then a monthly arrangement with no minimum term. When you compare options, check what is included: a QA specialist inside the team, acceptance criteria agreed up front, and tests and release documentation left in your repo. There is no lock-in: you continue month to month, and everything the team produces is already in your systems, so stopping does not strand your code or tests.

Keep hiring; this is for the work that cannot wait. Tech searches run 48 to 89 days (SHRM 2025), and SHRM estimates an open position costs $4,000 to $9,000 a month in lost productivity. A developer + QA pair is available and starts work within about a week once repository access and the first slice are agreed. Because code, automated tests and release documentation stay in your repo, the people you hire inherit tested work.

A product owner who writes or approves the acceptance criteria, repository access, usable environments and someone authorized to accept work. The team works in your repository and release process with the access you grant.

Not just AI-assisted. We set up an AI delivery environment around your product: it works from your codebase, your backlog and your acceptance criteria, inside an AI-first development process combined with established QA practice. A senior developer directs it, and a QA specialist checks every change against your criteria before it reaches your release process, so the quality bar stays yours.