Jon Lopinot
CTO at BRKFST
We don't recommend tools before we understand your team. Every engagement starts with your SDLC, tech stack, and release goals — then we build a consulting scope around what's actually blocking you.
We evaluate your current QA maturity, test documentation, coverage gaps, and CI/CD setup. The output: a clear picture of where automation pays off first and what it will take to get there. Teams with no existing automation and teams with broken frameworks both use this as a starting point.
We design a scalable, maintainable framework tailored to your application layer, team size, and stack — web, mobile, API, or desktop. Architecture decisions made here determine how well your suite holds up over the next 2–3 years. We get them right upfront.
Choosing between Playwright, Cypress, Selenium, or Appium is not a trivial call. We map each tool’s strengths against your specific context — browser coverage needs, parallel execution requirements, existing skill sets, and budget. You get a justified recommendation.
We integrate your automation framework into Jenkins, GitHub Actions, GitLab CI, Azure Pipelines, or your existing pipeline of choice. Every commit triggers automated validation. Developers get pass/fail feedback in minutes.
We help you identify where AI tools (Copilot, Claude, Cursor) reduce test authoring time, where they introduce risk without review, and how to build a workflow where speed and accuracy coexist.
If your current framework is brittle, slow to maintain, or built on deprecated tooling, we scope the migration. We identify what to salvage, what to rewrite, and how to execute the switch without disrupting your release cycle mid-flight.
Before starting a test automation consulting engagement, engineering leads and product teams tend to ask the same practical questions. Here are our direct answers.
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