for engineering teams
Slow pipelines, flaky tests, outages nobody can explain, a cloud bill that only goes up, and a codebase new hires need a month to understand. Most of it comes from too many moving parts. We remove them.
Book a 30-minute lookSenior engineer, 15 years of production systems in Ruby on Rails, Python, Java and PHP. Fixed scope, fixed price, agreed targets.
None of this shows up as a line item, so nobody owns it. It just quietly takes hours from every engineer, every week.
We profile every stage of your pipeline and fix what's slow: dependency and Docker layer caching, test splitting and parallelism, skipping what didn't change, faster runners for less money. Then deploys: one command or one merge, automatic rollback, preview environments if they earn their keep.
Typical target: a pipeline under 10 minutes and deploys nobody has to babysit.
Coverage percentages lie. We look at what your tests actually protect: which critical paths have no tests, which tests are flaky and why, which are slow (factory bloat, real network calls, sleeps), and which test nothing at all. You get a ranked list and, if you want, we fix it.
Typical target: zero known flaky tests, a suite that runs in half the time, and tests where the money is.
Structured logs, OpenTelemetry tracing across web, jobs and external calls, the metrics that matter, error tracking, SLOs, and alerts that only wake someone when a customer is affected. We set it up so that "why was it slow on Tuesday?" takes five minutes to answer, not a week.
Typical target: every user-facing request traceable end to end, and an alert list with no noise.
Cloud, database, CI minutes and observability vendors are where small teams overspend. We right-size servers and databases, fix the N+1 queries and missing indexes that force bigger machines, sample telemetry instead of storing everything, and cut CI spend. Every recommendation comes with the expected monthly saving.
You see the numbers before we change anything.
One-command local setup, realistic seed data, dev containers where they help, fast feedback loops, sensible linting, a README that's true, and a repo that AI coding assistants can work in safely. New people ship on day one; experienced people stop fighting their tools.
Typical target: clone to running app in under 15 minutes.
We read the pipeline, the test suite, the dashboards and the invoices, and we pair with one or two of your engineers. You get a written report: where the time and money go, ranked by payoff, each fix with a fixed price.
We agree targets up front ("CI under 10 minutes", "no flaky tests", "–30% on the cloud bill"), then work in your repo through normal pull requests your team reviews. No black boxes.
Runbooks, dashboards your team understands, and a short session walking through everything we changed. It stays fast after we leave because your team knows why it's fast.
Ongoing help afterwards: our Care plans start at $750/month. Polish companies: ceny w PLN.
Tell us what's slow, flaky or expensive. We'll reply within one business day with whether we can help and what the first step would cost.