Product Engineering
Release every weekwithout holding yourbreath
Automated test suites, CI quality gates and performance testing that catch problems on every change — so releases become routine, not events.
- Automated on every change
- Tests run in the pipeline, not on someone's calendar.
- Critical paths first
- Coverage prioritised by revenue and risk, not by line count.
- Performance tested
- Load and stress before your busiest day arrives.
- 3–6 weeks
- To automate the journeys your business depends on.
- 85%
- Fewer production bugs
- 5×
- Faster regression cycles
- 90%
- Critical path coverage
Overview
Most teams slow down becausetesting is still manual
Every release waits for someone to click through the same flows again, so releases get bigger, riskier and less frequent — and the war room becomes a ritual. We automate the checks that matter most and wire them into your pipeline.
Engineers get feedback in minutes, product owners get confidence, and manual testers focus on the exploratory work machines cannot do. Quality stops being a phase and becomes a property of the pipeline.
Who this is for
- Product teams whose release cadence is limited by manual regression
- Enterprises modernising a platform and needing a safety net for change
- Organisations facing audit or customer demands for evidence of testing
- 30+
- Test suites running in client pipelines
- 3–6 weeks
- To automate the critical paths
What's included
What you get from thisengagement
Working software and a documented reason for each decision — not a slide deck of possibilities.
Quality assessment
A review of current testing, defect history, release process and risk, with a prioritised plan to close the gaps.
End-to-end automation
Browser and mobile tests for the journeys your revenue depends on, running on every change.
API & contract testing
Fast checks that services still agree with each other before anything is deployed.
Performance testing
Load and stress tests that show how the system behaves under peak demand — and where it breaks.
CI quality gates
Pipelines that block risky changes automatically, with clear reports on why.
Security testing
Dependency scanning, static analysis and common vulnerability checks built into the release path.
Our approach
From manual toautomated, in threephases
Each phase ends with something you can review and a decision point where you can stop.
Start with an assessment- Review defect history, release process and existing tests
- Map critical user and business journeys
- Define coverage targets and quality gates
- Fixed-scope plan and estimate
You end up with: A prioritised automation plan with a measurable target and a number.
- Test framework and CI integration set up first
- End-to-end, API and contract tests for the highest-risk flows
- Performance baseline established
- Quality gates enforced in the pipeline
You end up with: Automated suites running on every change, blocking regressions before deployment.
- Coverage extended as features ship
- Flaky test management and suite performance tuning
- Quarterly performance and security test cycles
- Handover to your engineers
You end up with: A quality system your team owns, with releases that no longer need a meeting.
Not sure which service you actually need?
Describe the problem in thirty minutes and a solution architect will tell you — including when the answer is that you do not need us for this.
Tools we use
Testing tools your team can maintain
Widely adopted frameworks with large communities, so the suite outlives any single engineer.
End-to-end
- Playwright
- Cypress
Mobile
- Device-farm testing for Flutter / React Native
API & contract
- OpenAPI-based contract tests
- Postman/Newman
Performance
- k6
- JMeter
CI/CD
- GitHub Actions
- Docker
Why us
Why partner with Kaidova on QA
We release our own platforms continuously. The automation that lets us do that safely is what we build for you.
Risk-based, not coverage-based
We automate the journeys that cost money when they break, not every screen.
Quality in the pipeline
Tests block bad changes automatically — no one has to remember to run them.
Performance before peak day
Load testing is part of the plan, not a response to an outage.
A number before you commit
Assessment ends with a fixed estimate and measurable targets for coverage and cycle time.
Built to be handed over
Frameworks, documentation and conventions your engineers can extend without us.
Our work
Results from systems in production
How disciplined engineering translates into operational outcomes. Every figure shown is measured on a live system and approved by the client.
View all case studies
01LieferfairMarketplaces & LogisticsRebuilding a delivery marketplace to survive its own growth
A fast-growing delivery platform was hitting the limits of its original architecture. We re-engineered the core system for scale, reliability and real-time operations.
Read case study3.2×
Increase in order throughput
02Construction contractor (on Oplyra)Construction & TradingOne ledger for a contractor running six disconnected systems
Read case study40%
Less time closing the month
03FastestVPNConsumer SoftwareScaling a consumer VPN to millions of sessions a day
Read case study99.9%
Uptime across regions
Related insights
More on QA and test automation
Oplyra ERP 3.0: AI estimation and variation orders
How we cut construction estimation time by nearly two thirds.
Read more
Why we build on Odoo instead of reselling it
The commission model quietly distorts platform advice. Here is our alternative.
Read more
Kaidova opens Middle East delivery desk
Live overlap for GCC clients, staffed by the same senior team.
Read more
Forecasting that works with real kitchens
What we learned taking demand prediction to work in the field.
Read more
See how much faster you could release
Thirty minutes with the engineers who would do the work, walked through your release process. No obligation, no slide deck.