Quality Engineering · Testing & QA Automation
Software Testing & QA Automation Services
Software testing and QA automation services check that your application works, stays working after every change and holds up under load. Aaga builds automated test suites that run in your CI pipeline, using AI to speed up test creation, and adds evaluation suites for AI and LLM features.
- A test strategy based on risk, not on chasing a coverage number
- End-to-end, API and mobile tests that run on every pull request
- Load and performance tests with k6 or JMeter before big launches
- Evals that catch regressions in chatbots, RAG and AI agents
- Tests run on every change, not once a quarter
- In CI
- Faster test creation and maintenance
- AI-assisted
- Reply to your inquiry within one business day
- 1 day
What Do Our Software Testing Services Include?
Quality engineering across the whole stack, from the API to the browser to the AI model.
Test Strategy
A risk-based plan following the test pyramid: which flows need end-to-end tests, what belongs in unit and API tests, and what to test manually.
Web Test Automation
End-to-end suites in Playwright or Cypress, or Selenium where you already use it, with stable selectors and parallel runs in CI.
Mobile Testing
Appium automation for iOS and Android, run on emulators and real devices through cloud device labs such as BrowserStack.
API & Contract Testing
Functional, negative and schema tests with Postman and Newman, REST Assured or pytest, plus consumer-driven contracts with Pact.
Performance Testing
Load, stress, spike and soak tests with k6 or JMeter, with results tied to response-time and error-rate budgets.
Testing AI & LLM Apps
Evaluation datasets, LLM-as-judge scoring, red-team prompts and regression checks for chatbots, RAG and agents, run with tools such as promptfoo.
From Manual Testing to Automated Quality
QA Assessment
We review your current tests, release process, defect history and the flows that matter most to users and revenue.
Strategy
We agree what to automate first, the tools and the quality gates for each stage of the pipeline.
Automation Foundation
We set up the framework, test data, environments and CI integration, starting with critical user journeys.
Expand Coverage
We add API, mobile, performance and AI evaluation suites in priority order.
Maintain
We keep tests green and fast as the product changes, or train your team to own them.
Quality Engineering, Not Test Factories
Large firms suit long-running testing centers for many applications at once. Product and mid-market teams usually need fewer, sharper tests built into delivery.
| Aaga | Typical large IT services model | |
|---|---|---|
| Approach | Automation-first, built into CI from day one | Dedicated testing teams or testing centers of excellence |
| Who does the work | Senior engineers who read and fix code | QA teams separate from development |
| Measure of success | Escaped defects, release confidence and pipeline speed | Program-level QA metrics and reporting |
| AI | AI-assisted test creation and LLM evals built in | Often a separate AI testing offering |
| Best for | Product, SaaS and mid-market teams shipping often | Testing centers across large application portfolios |
Comparison describes typical delivery models, not any specific company.
How Do You Test an LLM Application?
LLM features can't be tested with exact-match assertions alone, because the same question can produce different, equally correct answers. Aaga tests them with evaluations:
- Golden datasets of real questions with expected facts, sources or actions
- Automated scoring for correctness, groundedness in retrieved sources, tone and format, using rules plus LLM-as-judge with human spot checks
- Adversarial tests for prompt injection, jailbreaks and data leakage
- Regression runs on every prompt, model or retrieval change, with results compared against the last release
This turns "it seems better" into a measurable release decision.
What Is Quality Engineering?
Quality engineering is the practice of building quality into software delivery instead of inspecting for it at the end. It combines a risk-based test strategy, automated tests that run on every change, performance and security checks, and clear quality gates in the deployment pipeline. Software testing and QA automation are the core of it.
Aaga's software testing services are delivered by engineers who also build software. That matters: they write tests that are fast and stable, understand why a test fails and can fix the code or the test, not just file a ticket.
Signs Your QA Process Needs Work
- Releases wait days for a manual regression pass
- The same bugs keep coming back after fixes
- End-to-end tests are flaky, so people ignore failures
- Nobody knows how the system behaves under peak traffic
- AI features ship based on a few manual chats in a demo
Each of these has a practical fix, and most can be addressed in weeks rather than months.
How Aaga Builds a Test Automation Program
Start with risk, not coverage
We rank user journeys and components by business impact and change frequency. Checkout, login, payments, core data entry and integrations usually come first. Coverage percentages follow from that, not the other way around.
Follow the test pyramid
Fast unit tests at the base, API and integration tests in the middle, and a focused set of end-to-end tests at the top. API tests are where much of the value hides: they are quick, stable and catch many logic errors without a browser.
Make tests part of delivery
Tests run in your CI pipeline, on GitHub Actions, GitLab CI, Bitbucket Pipelines or Jenkins, with clear gates: fast checks on every pull request, fuller suites before deploy, nightly performance and security scans. Our DevOps services team sets up environments and test data so runs are repeatable.
Keep tests healthy
Flaky tests destroy trust. We use resilient selectors, isolated test data and automatic retries only where justified, and we track flaky tests and fix their root cause.
AI-Assisted Testing
Aaga is AI-native, so AI is part of how we test. We use AI tools to draft test cases from user stories and acceptance criteria, generate test code and data, and suggest repairs when the UI changes. Engineers review and own every test. The benefit is speed and breadth: a small senior team can build and maintain more meaningful coverage.
Testing AI and LLM Applications
AI features need a different kind of testing. Answers vary, models change, and failures are often subtle: a confident wrong answer, an outdated source, a tool call that shouldn't happen. We build evaluation suites for chatbots, RAG systems and agents, and run them on every change, so model upgrades and prompt edits are measured before release. This pairs with our generative AI development work and the guardrails in our application security service.
Performance Testing
Before a launch, sale or migration, we test how the system behaves under realistic and peak load. Using k6 or JMeter, we model user behavior, ramp traffic, and measure response times, throughput and errors. Results point to specific bottlenecks: slow queries, missing caches, connection limits or undersized infrastructure.
Testing During Modernization and Support
Automated tests are the safety net for change. In a legacy modernization project, characterization tests capture how the old system behaves so the new one can be checked against it. In managed application support, the regression suite makes patches and upgrades routine instead of risky.
Common Test Automation Mistakes We Fix
- Automating everything through the UI. Slow, brittle suites that fail for the wrong reasons. Most checks belong at the API or unit level.
- No test data strategy. Tests that depend on shared, changing data break randomly. We use seeded, isolated data per run.
- Tests outside the pipeline. A suite that runs only when someone remembers is a suite nobody trusts.
- Ignoring flaky tests. Retrying until green hides real bugs. We quarantine and fix flaky tests quickly.
- No owner. Tests decay when nobody maintains them. We agree ownership from the start.
What You Get
- A written test strategy and quality gates for your pipeline
- Automated suites in your repository, in your language and conventions
- Test reports in CI and a simple quality dashboard
- Documentation and a handover so your team can extend the suites
Start with a QA assessment, and we'll show you where automation will pay off first.
Frequently Asked Questions
They are services that plan, build and run tests to check software works as intended. QA automation means writing those tests as code so they run automatically, usually in the CI pipeline on every change. Aaga covers strategy, web, mobile, API, performance and AI testing.
For new web projects we usually recommend Playwright for its speed, multi-browser support and reliable auto-waiting. Cypress is a good fit for front-end-heavy teams already using it. Selenium makes sense when you have a large existing suite or need its wide language and grid support.
No. Automate stable, repeated and high-risk checks, especially critical user journeys and APIs. Keep exploratory testing, usability checks and fast-changing features manual until they settle. A good strategy has many fast unit and API tests and fewer end-to-end tests.
AI helps generate test cases from requirements and user stories, write and refactor test code, create realistic test data and suggest fixes when a selector breaks. Engineers review everything it produces. It speeds up the work but doesn't replace judgment about what to test.
We build evaluation datasets from real or realistic questions, score answers automatically for correctness, groundedness and safety, run adversarial prompts for injection and data leakage, and repeat the evals on every change to prompts, models or retrieval.
Yes. We write load scenarios in k6 or JMeter based on real traffic patterns, run them against a production-like environment and report response times, error rates and bottlenecks, with recommendations for the database, caching or infrastructure.
Yes. We can build the framework and initial suites, then pair with your team so they can extend them, or we can take over test maintenance as an ongoing service alongside your developers.
Ship Faster Without Breaking Things
Tell us where bugs slip through today. We'll propose a first automated suite for your most critical journeys.
Plan My QA Automation