Idea to Product in 3 Months

Most products go from signed contract to live in 3 months. Timeline depends on scope — we define it precisely during the discovery phase and give you a fixed estimate before development starts.

Project cost depends on scope, team size, and timeline. We work on both fixed-price and time-and-material contracts. After a free 30-minute call we can give you a ballpark estimate — and a detailed one after discovery.

Yes. Our team integrates LLMs, AI assistants, intelligent automation, and AI-powered search into products. We handle the full AI feature lifecycle from architecture to deployment.

Typically within one week of signing. We keep capacity for new projects and can have your team assembled and onboarded fast.

We use agile sprints so scope changes are handled without stopping the project. Your PM reviews change requests, updates the estimate, and we adjust the roadmap — no surprises.

You get a dedicated project manager as your single point of contact, plus direct access to the engineering team. The CEO is also available for strategic calls at any stage.

Yes. We assign a dedicated developer to your project after launch for bug fixes, improvements, and scaling support. We treat post-launch as the start of the product journey, not the end.

Yes, performance and scalability work is a common engagement type for our team. We begin with a performance audit that identifies the bottlenecks, whether they are in the database query layer, application code, network configuration, or infrastructure sizing. We then design and implement targeted improvements, which may include database indexing and query optimization, caching layers with Redis or Memcached, horizontal scaling with load balancing, moving expensive operations to background jobs, or migrating to more appropriate infrastructure on AWS. We have helped SaaS products scale from thousands to millions of concurrent users through systematic performance engineering rather than throwing hardware at the problem.

Legacy modernization requires a careful strategy that keeps the existing product operational while progressively replacing outdated components. We use a strangler-fig pattern for most legacy work: building new capabilities alongside the legacy system and gradually routing traffic to the new components as they reach production readiness. This avoids the risk of a complete rewrite, which frequently fails because the scope is larger than anticipated and the existing system continues to evolve during the rebuild. Our team has experience with legacy Ruby on Rails, older Node.js applications, and monolithic architectures that need to be decomposed into more maintainable structures.

We track delivery quality through a combination of code quality metrics (test coverage, static analysis scores, code review pass rates), operational metrics (deployment frequency, change failure rate, mean time to recovery), and product metrics (bug resolution time, user-reported defect rates). These indicators give both our team and the client an objective view of delivery health and identify areas for process improvement. Brocoders maintains a 94% client satisfaction rate across more than 85 completed projects, reflecting 30 Clutch reviews with a 5.0 rating, which demonstrates that our quality standards produce outcomes clients are satisfied with.