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Codiaks Service · 04

Test coverage that survives refactors.

Test strategy, automation, regression, performance, and load testing. Suites that stay green when the codebase changes — and catch the edge cases that actually matter, not just the ones that are easy to test.

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4,000+
test cases at scale
87%
avg coverage
<10m
CI run time
codiaks · test suite
Last run
main · #4,287
all passing
Unit tests 1,247 / 1,247 ✓
Integration 342 / 342 ✓
End-to-end 89 / 89 ✓
Performance 14 / 14 ✓
Coverage
87.4%
9m 14s · 1,692 tests main · ✓ green
What we do

Six layers of testing. One philosophy: test what matters.

Coverage isn’t a goal — it’s a side effect. The actual goal is a suite that catches bugs, runs fast, and stays green when engineers refactor without fear.

Test strategy

Where to test, what to test, who tests it. We start with what would actually break the business, work backward to the suite that prevents it.

Test automation

Unit, integration, end-to-end. Designed to run fast, fail loud, and survive refactors. Reliable enough that a red test means a real bug.

Regression testing

Suites that grow with the product, not faster than it. We prune what doesn’t earn its place — flaky tests are bugs, and we treat them that way.

Performance & load

k6, JMeter, Gatling. Realistic load patterns, not synthetic ones. We test for the way users actually behave, including the way they break things.

Exploratory testing

Manual, structured, hypothesis-driven. The bugs no automated suite will ever find — weird state combinations, edge UX cases, undocumented behavior assumptions.

QA process design

Bug triage, release gates, quality metrics that don’t become vanity numbers. Process that fits how your team actually ships, not the other way around.

How we engage

Audit, strategy, automate, maintain. Always with engineering.

Stage 01

Audit

Existing coverage, gaps, flaky tests, risk areas, current tooling. We document what’s there before we touch a thing.

Stage 02

Strategy

Test pyramid, tooling, coverage targets that mean something. Aligned with your engineering team and your release cadence.

Stage 03

Automate

Suites written, integrated with CI, reviewed by engineers. Flaky tests fixed at the root, not retried into compliance.

The hard part
Stage 04

Maintain

Coverage that stays useful as the codebase evolves. Periodic pruning of tests that no longer earn their place. Onboarding docs for new engineers.

Featured work

A banking-platform regression suite that runs in under ten minutes.

Trade iQ Test Suite 2019 → ongoing

4,000+ tests. Sub-10-minute CI. Zero flakes shipped to main.

Built across seven years of production iteration. Engineers refactor without fear because the suite catches regressions before they reach staging. Compliance auditors review the test plan as part of their assessment — the suite is part of the compliance story, not separate from it.

4,000+
test cases
9m 14s
avg CI run
87%
code coverage
Stack

Tools we’re fluent in.

E2E
Playwright Cypress Selenium WebdriverIO
Unit / Integration
Jest Vitest Pytest JUnit Go testing
Performance
k6 JMeter Gatling Locust
CI & Reporting
GH Actions CircleCI BrowserStack Allure
Questions we get

Things prospects ask on the first call.

We have some tests already — what do you do with them?

We start by running them and reading them. Most existing suites have valuable tests buried in flaky, slow, or duplicated ones. We keep the valuable, prune the noise, and fill the gaps. Nothing gets deleted without team review.

How do you decide what to automate?

By risk and frequency. High-risk paths (money movement, auth, compliance reporting) get heavy automation. High-frequency paths get automation for fast feedback. Low-risk, low-frequency paths often stay manual or unchecked — effort spent there is effort not spent elsewhere.

What about load and performance testing?

Real load patterns, not synthetic. We capture production traffic shapes (peak, off-peak, seasonal) and replay them. Performance regressions get caught in CI before they hit staging.

How do you handle flaky tests?

Treat them as bugs. Flaky tests train engineers to ignore CI, and that’s a worse problem than slow features. We diagnose root causes (timing, shared state, network), fix them, and don’t add a retry annotation to make the symptom go away.

Can you train our team?

Yes. Pair programming, written guides, code review feedback. Most engagements include explicit knowledge transfer so your team can extend the suite confidently after we step back. Some clients keep us on indefinitely; some don’t need to.
Talk to us

Show us your test suite.

Book a 30-minute call. We’ll look at what’s there, where the gaps are, and what would actually move the needle.

Get in touch hello@codiaks.com
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