Our approach
We build automation that survives contact with your real codebase.
The right tool. The right module.
Module-based, not script-count-based
Your tech stack is unique. Your automation solution should be too. We don’t push a one-size-fits-all framework. Our Pods build module-based automation focused strictly on your core, revenue-generating user flows self-healing, CI/CD-integrated, and architected for your specific codebase.
The honest truth
Sometimes, automation is a bad investment
An hourly contractor will happily bill you to automate a broken feature. We won’t. If a fragile codebase means a test suite will be unstable and costly to maintain, your Pod Lead will tell you that directly. Our first job is to be your trusted advisor — ensuring automation yields actual ROI, not just a bloated script count.
What we automate
Six automation disciplines, one embedded Pod
Every suite is built around your stack, your CI/CD pipeline, and your actual release cadence.
End-to-end automation
Full user flow coverage with Cypress or Playwright, login, checkout, onboarding, and every revenue-critical path your users actually take
Integration testing
Automation wired directly into your pipeline, tests run on every commit, PRs are gated on coverage, and failures surface before they hit staging.
API and backend automation
REST and GraphQL endpoint validation with Rest Assured or Python contract testing, edge cases, and data integrity at the service layer.
Mobile automation
iOS and Android test coverage with Appium real device and emulator testing for native apps, hybrid apps, and mobile web.
User acceptance testing
JMeter and Locust scripts that validate behavior under real traffic run before launches, sales events, or any planned traffic spike.
Suite maintenance and self-healing
We maintain and evolve your test suite as your product changes. Flaky tests get fixed. Coverage gaps get closed. The suite stays useful, not just inherited
BOur technology expertise
Fluent across the entire modern automation stack
E2E
Cross-browser E2E automation with trace and video debugging
E2E
E2E/API
Mobile
Language
Language
Language
Runner
Performance
Performance
Performance
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Module-Based Test Automation and CI/CD Pipeline Integration are core capabilities of our advanced pods.
Our differentiator
We audit before we automate.
Most vendors start writing scripts on day one. We start by understanding your codebase, your release cadence, and whether automation will actually pay off. That audit is what separates a suite that outlives the engagement from one that becomes a maintenance burden in six months.
Audit and assess
We review your codebase stability, existing coverage, and CI/CD setup before recommending anything. If automation isn’t the right investment yet, we’ll say so.
Architect the strategy
We design a module-based automation plan around your revenue-critical flows, your stack, and your team’s release cadence, not a generic template.
Build and integrate
Scripts are built incrementally and wired into your CI/CD pipeline. Tests run on every commit. Coverage expands sprint by sprint.
Maintain and evolve
We own the suite long-term. As your product changes, coverage stays current. Flaky tests get fixed. The suite improves over time rather than decaying.
Built for your release cadence
When manual testing can no longer keep up.
Teams shipping multiple releases per week
Your release cadence has outpaced what manual testing can cover. Every sprint ends with gaps. Automation is how you scale coverage without scaling headcount.
Teams inheriting a broken test suite
You have automation but it’s flaky, outdated, and nobody trusts it. We audit what’s salvageable, rebuild what isn’t, and bring the suite back to a state your team can rely on.
Products where regression is blocking growth
Every new feature risks breaking something existing. Regression testing is eating your sprint capacity. Automation takes that weight off your team permanently.
“Outpost QA’s automation strategy completely changed how we release. What used to be a two-day manual regression cycle now runs in under an hour, and we’ve shipped consistently clean releases since the suite went live.”
VP of Engineering
Eight Sleep
Case study
350% ROI, how Eight Sleep went from fragile releases to flawless launches
Module-based E2E automation, CI/CD integration, and regression suite ownership for a premium sleep tech platform with aggressive release targets.
FAQs
How do you decide what to automate first?
We start with your revenue-critical flows, not the ones that are easiest to script. Before writing a single line, we map what happens when something breaks in production and what your users do most. Login, checkout, onboarding, key API endpoints, these come first. From there, we layer in regression coverage for the areas your team has historically broken most often. The goal is coverage that actually protects the business, not a high test count on pages that rarely change.
What frameworks do you recommend, and why?
It depends on your stack, but we don’t keep it vague. For most modern web apps, Playwright is our default for E2E, it’s faster, more reliable under async rendering, and has better debugging than Cypress in complex flows. Cypress still wins for teams that want a simpler setup and tighter feedback loops during development. For APIs, we use Python or Rest Assured depending on your existing language. For mobile, Appium. We tell you what we’d use if it were our product, not what happens to fit our default template.
Do you maintain the suite after it's built?
Yes, and this is a core part of the model. A test suite that nobody maintains becomes a liability within six months. As your product evolves, our Pod keeps coverage current, fixes flaky tests before they erode trust in the suite, and expands coverage as new features ship. You’re not handed a repo and left to figure it out.
Can you work with our existing automation setup?
Yes, but we audit it first. If you already have a suite, we assess what’s working, what’s flaky, what’s outdated, and what can be salvaged. Sometimes the right move is to rebuild on a better foundation. Sometimes 70% of what you have is solid and just needs maintenance. We’ll tell you which scenario you’re in before any work starts, not after.
When does automation NOT make sense?
When your codebase is still changing so fast that tests break every sprint before they provide any value. When the feature you’re automating is not stable or is likely to be redesigned. When the cost of maintaining a suite exceeds the time it saves your team. We run into these situations and we say so directly. Automation is a compounding investment, it only pays off when the foundation is stable enough to build on. If it isn’t, we’ll tell you what needs to happen first.
