Software Factory for High-Demand Projects

A factory makes sense when you need speed to start (a complete team ready in weeks, not months of recruiting), when the project has a defined duration and you do not want to carry a permanent headcount, when you need profiles hard to find in the local market (senior architect + specialized developers + QA), or when your internal team does not have experience in the technology or type of project you need to execute. If you are looking at 6+ month projects with a clear stack and need delivery certainty, a factory significantly reduces risk.

Vendor dependency is not inevitable, but it is common when the external team works without delivering documentation, without training the internal team and without following standards that allow others to continue the work. Our delivery model includes: code versioned in the client's repository from day one, architecture and technical decision documentation in every sprint, formal knowledge transfer at the end and a post-delivery support period. The explicit goal is that when the contract closes, the client has total autonomy.

The metrics that matter go beyond sprint velocity: delivery velocity (features completed per sprint vs. committed), automated test coverage (minimum 70% on critical code), production defect rate (incidents per delivered module), cycle time from a story entering the sprint to being in production, and accumulated technical debt measured with static analysis. We report these metrics weekly and include them in executive reports so management has visibility without relying on informal team reports.

Enterprise projects change: budgets are adjusted, priorities shift, mergers happen. A well-structured contract allows the team to be scaled up or down with reasonable notice (generally 30 days) without penalties that make flexibility more expensive than rigidity. We work with time-and-materials or hybrid schemes that provide this flexibility, with the sole condition that delivered increments are left in a complete and documented state — not half-finished.

Beyond the project portfolio, there are concrete signals of real technical quality: ask to see code from a previous similar project (or an anonymized sample), check if they have CI/CD configured from the start of their projects or only at the end, ask about their code review policy and which tool they use to measure quality, and find out how many of their previous projects are still in production and being maintained by the client's team. A team with good engineering practices has no problem showing their work — and one that avoids it is revealing something important.