Software Testing & QA Services
Devs & Logics provides software testing and QA services for US startups — Playwright and Vitest automation, CI quality gates, pre-launch audits, and LLM eval suites for AI features — so your product ships tested without a full-time QA hire, for teams in New York, Austin, Boston, and nationwide.
The problem we solve
Startups ship fast until the first embarrassing bug reaches a paying customer — then every release gets slower and scarier. Hiring doesn't fix it quickly: a senior US QA automation engineer takes 11–14 weeks to find, and bodies-per-hour outsourcing hands you test cases without ownership. You need working coverage on your actual stack, wired into your pipeline, this month.
What we deliver
We set up and run the QA function for startup teams — automation-first, on the same stack we build products with — as a fixed-scope setup plus an optional monthly regression retainer. It's the testing discipline already built into every SaaS MVP development project we ship, offered as a standalone service.
- Playwright end-to-end suite covering your revenue-critical flows
- Vitest unit coverage for the logic that breaks silently
- CI quality gates on GitHub Actions — failing checks block the merge
- Pre-launch QA audit with a prioritized bug and risk report
- LLM eval suites for AI features — golden datasets, judge calibration, pass-rate gates
- Flaky-test triage and suite maintenance, so coverage stays trusted
Our process
- 1
QA audit & risk map
We test your product the way users break it — exploratory passes across the critical flows, devices, and ugly edge cases — then map what's covered, what isn't, and which gaps can genuinely cost you revenue. You get a prioritized report that stands on its own, whether or not we build the automation.
- 2
Test architecture
We design the smallest suite that earns its runtime: which flows get Playwright end-to-end coverage, which logic gets Vitest units, what gets mocked — and for AI features, which golden dataset, metrics, and judge setup will actually prove quality, matching the eval pipelines we ship in our AI development and integration work. Test plans live in your repository, not our silo.
- 3
Automation build & CI wiring
Suites get built and wired into your pipeline as quality gates, so a failing check blocks the merge instead of reaching users — and eval gates score every prompt or model change against your dataset before it lands. Pipeline setup follows our DevOps and cloud consulting playbook: CI/CD on GitHub Actions with protected production deploys.
- 4
Handoff or retainer
Documentation, runbooks, and a trained team if you're taking QA in-house — or a flat monthly retainer where we own regression, triage flaky tests, and grow the suites alongside the product. Either way, everything we built stays in your repo and keeps working without us.
Proof & outcomes
- Playwright and Vitest suites shipped inside every recent SaaS MVP build
- Eval pipelines with versioned golden datasets and CI gates running on production AI features
- Quality gates — lint, types, tests, evals — standard in our delivery pipeline, not an add-on
- Production stacks: TypeScript, Next.js, GitHub Actions, Vercel and AWS
Technologies
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Frequently asked questions
What is included in software testing services from Devs & Logics?
A QA audit with a prioritized risk report, a test architecture matched to your stack, Playwright end-to-end and Vitest unit suites, CI quality gates that block failing merges, and — for AI products — LLM eval suites with golden datasets and pass-rate thresholds. Everything lives in your repository with documentation, and can hand off to your team or continue as a monthly retainer.
How much does software testing cost?
Industry-wide in 2026, onshore QA runs $60–$150+ per hour, a small MVP test cycle lands in the low thousands, and full enterprise QA programs exceed $150,000 a year. Our model works differently from hourly staffing: a fixed-scope setup quoted after the audit, then an optional flat monthly retainer for regression and maintenance — so cost tracks your product, not a timesheet.
Do we need manual or automated testing?
Both, in the right ratio. Automation carries repeatable regression — more expensive upfront, far cheaper every release after — while human exploratory testing catches what scripts can't imagine. The practical startup mix: automate the revenue-critical flows, unit-test the fragile logic, keep exploratory passes for releases, and never automate a flow that's still changing weekly.
Can you test AI features?
Yes — it's our specialty. Conventional tests can't assert on probabilistic outputs, so AI features need eval suites: versioned golden datasets, metrics per feature type, calibrated LLM-as-judge scoring, and CI gates that fail a merge when answer quality regresses. We build and run exactly that, using the same playbook published in our engineering guides.
Do we need a full-time QA hire?
Usually not yet. A senior US QA automation engineer takes 11–14 weeks to hire and carries a full-time cost your release volume may not justify. A setup-plus-retainer model gets working coverage in weeks, and the right moment to hire in-house is when testing volume sustains a full workload — at which point you inherit documented, running suites instead of starting from zero.
Areas we serve
8 US markets. Explore local pages:
Discuss your QA setup
Tell us your stack and your scariest release story. We'll audit the coverage gap and propose a fixed-scope plan — suites, gates, and evals included.
Contact us →