Part of Software Development ←
Testing built into the pipeline from the first sprint — not a scramble the week before a release deadline.
Testing is usually the first thing that gets cut when a deadline gets tight, which is exactly backwards. A team ships features all sprint, then spends the last few days before release doing manual regression testing under pressure, missing edge cases because there simply isn't time to check everything by hand. A few releases later, nobody trusts the release process, every deploy is stressful, and bugs that a basic automated test would have caught reach production regularly.
We build QA as part of the development pipeline, not a phase that happens after development is "done." That means automated test suites that run on every commit, not just before a release. It means test coverage that targets the parts of the system where bugs are actually expensive — payment flows, data integrity, auth — not just easy-to-test surface behavior. The goal is a release process your team can trust without a manual scramble every time.
What's Included
Automated test suite
Unit, integration, and end-to-end tests covering your application's critical paths, written to run in CI on every commit, not as a manual checklist.
CI-integrated test pipeline
Tests wired into your build pipeline so a broken build blocks deployment automatically, instead of relying on someone remembering to run tests before release.
Test coverage and gap report
A clear picture of what's tested, what isn't, and where the highest- risk untested paths are, so you can prioritize what to cover next with real information instead of a guess.
QA process documentation
A documented testing strategy — what gets automated, what still needs manual QA, and how bugs get triaged — so quality doesn't depend on one person's institutional memory.
Our Approach
Test the paths where bugs actually cost money.
We prioritize coverage on payment flows, data integrity, and auth before chasing 100% coverage on low-risk surface code.
Wire tests into CI from the start.
Automated tests run on every commit and block merges on failure, so regressions get caught in minutes, not discovered by a user in production weeks later.
Balance automation with targeted manual QA.
Not everything should be automated. We identify where exploratory manual testing catches issues automation misses — usability, visual regressions, unusual user paths — and build that into the process too.
Frequently Asked Questions
Yes, and this is one of our most common QA engagements. We start by identifying the highest-risk, highest-traffic paths and building coverage there first, rather than trying to test everything at once, which usually stalls out. Coverage grows incrementally alongside ongoing development.
It depends on your stack — Jest or Vitest for unit testing in JavaScript/TypeScript projects, Playwright or Cypress for end-to-end testing, and pytest for Python codebases, typically wired into GitHub Actions or your existing CI provider. We work within tools your team already knows where reasonable, rather than introducing a new toolchain for its own sake.
Building an initial automated test suite for a mid-size existing application, including CI integration, typically runs ₹5-10 lakh over 6-10 weeks. Ongoing test maintenance and expanded coverage as new features ship can be handled under a smaller monthly retainer once the initial suite is in place.
Yes, standalone manual QA engagements are available, either as a one-time pre-release testing pass or an ongoing arrangement. That said, we'll be upfront if we think automation would save you more money over time than repeated manual cycles for your specific situation.
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