AI-driven QA pipeline

Many teams are already testing. But pipelines fail without explanation, nobody reads reports, and stakeholders keep asking questions. I am building the AI-powered QA pipeline that automatically solves this, from CI/CD to Slack reporting.

Do you recognise this?

The pipeline is failing, but no one knows why

There's a "build failed" message in Slack. Someone's going to manually figure out what went wrong. That's going to take time nobody has.

Test results that nobody reads

The Allure reports are generated and immediately forgotten. Stakeholders don't know what the quality is. Management will still ask you.

Manual test environments

Every time the same steps. Servers that keep running while the tests are already finished. Costs that increase without anyone noticing.

Flaky tests are blocking pipelines

Tests that sometimes pass and sometimes fail, for no apparent reason. The pipeline stalls while no one is sure if it's a real problem.

What I'm building

No standalone tests. A complete system from infrastructure to reporting, that is self-driving and automatically informs stakeholders.

Automated test environments

Terraform starts up an AWS server before each run and then breaks it down immediately afterwards. No manual work, no unnecessary costs.

Pipeline that coordinates everything

Jenkins of GitLab CI orchestrates the entire chain: building infrastructure, deploying the application, running tests, gathering results, reporting, and tearing everything down again.

AI analyseert de resultaten

After each run, AI reviews the test results, k6 performance data, and recent code changes. The system automatically determines what went wrong and why.

Slack report for everyone

Developers see technical details. Management sees whether it is safe to deploy. Nobody needs to write a report manually.

Versioned storage in Nexus

Every report is saved linked to the exact build number. Always traceable, fully auditable.

This is what your team sees after each run

Who is this for?

Scale-ups

Teams that want to ship faster without hiring more QA staff.

CTOs

The stakeholders want to be informed without manual reporting.

QA teams

Losing time on maintenance and manual analysis instead of testing.

I don't write tests and then chuck them over the garden fence. I build the foundation your team can keep building on — and the system that tells stakeholders if it's safe to ship.”