What Actually Drives Software Development Costs
The single largest cost driver is rarely the technology stack — it is uncertainty. Each unanswered question in the requirements is converted into a contingency in the estimate. A team that has no visibility into the exceptions and edge cases has to assume the worst. Spending a week on requirements work frequently cuts the overall figure much more than haggling over hourly rates.
Connections to other systems remain the second big multiplier. A form that saves data is low risk; the same feature wired into a payment provider and a CRM is another matter entirely. The unknown sits in the other system: rate limits and sandbox access, slow approval cycles, inconsistent data. Ask each bidder to list every external system, because that is where the numbers slip.
Quality attributes silently change the number. A tool used by a handful of staff has almost nothing in common with the same functionality serving a hundred thousand users. Compliance work, availability guarantees, sla based software support performance under load, audit logging backend and frontend technologies we use localisation all add weeks of work. Put them in the brief or else expect them priced as extras.
Who actually does the work changes the arithmetic. A day rate says almost nothing on its own: a senior engineer at a premium rate frequently turns out to be cheaper overall than two inexperienced developers who need supervision and rework. Check too who else which is better vue or angular billed: coordination, quality assurance, infrastructure work and UX design have to be done by someone, but they must be itemised.
The quoted figure is never what you will actually spend. Budget for cloud costs, paid APIs, observability and a maintenance allowance react native developer for hire every year the software runs. A common working assumption is that a live system consumes a noticeable fraction of its original build cost every year for updates, security patches and small improvements. Leaving it out of the budget remains the most frequent planning error.