Change your code without breaking what works.
Every change to a live system risks breaking behavior no test was watching. AnAr's Automation Testing Framework closes that gap. Hand over the running application, and it generates the test suite and runs it, so a regression shows up in a test result instead of a customer complaint. No test specs to write, no scripts to hand-maintain.
You give it the application. It gives you the tests.
Most test automation asks your team for the one thing they never have: time to write and maintain test scripts. This framework inverts that. It works from your running application, generates the test scripts, and runs them, so the coverage exists whether or not anyone had time to write it.
Tests from the application
It works from your running application and produces the test scripts. No manual authoring, no annotated code to hand over first.
And reports what changed
It executes the suite and tells you what changed, not just a pass or fail count, so you know exactly what a change touched.
On every change
Point it at the next version and it re-verifies the behavior, so a regression surfaces before release instead of after.
From a running application to a suite that guards it
You hand over the application
Nothing else. No test specs, no annotated code, no requirements document to assemble first.
It generates the tests
Working from the application's actual behavior, it produces AI-generated test scripts that pin what the system does today.
It runs them and reports
You get a clear read on what changed, so a regression is caught in a test result, not a support ticket.
It re-runs as the system changes
Point it at each new version and the suite re-verifies the behavior before release, so a change that quietly broke something never reaches production unseen.
The behavior nobody wrote down as a test is exactly what a silent regression exploits. This is the tool that writes those tests down, automatically.
Operated by our engineers, validated by humans
There are self-serve testing tools you can license and run yourself. This is not that. The difference is who operates it, and who reads the output before it gates a release.
We run it, and a human validates it.
Generated tests are reviewed by our engineers before they gate anything. You are not trusting a suite that nobody read.
It works on your real system, not a demo.
It runs against inherited, messy, production codebases, because that is the work we do every day, not a clean sample app.
You keep the outcome, not a new burden.
You get the regression coverage and the read on what changed, without your team taking on another tool to operate and babysit.
Inside the work we already do
This is not a separate process. It backs the regression lens of our four-phase Verify discipline, and it shows up wherever a change has to be safe.
AI-assisted builds
It backs the Verify phase of our four-phase method, so a passing suite is one lens of five, not a rubber stamp. See AI-Assisted Development.
Modernization
It verifies behavior parity between the legacy and the rebuilt system at cutover, so nothing changes silently.
Maintenance
Regression suites run before any change reaches production traffic on a system we maintain. Nothing ships on hope.
What this looks like on a real system
On a modernization of a compliance-regulated education-finance platform, the legacy codebase carried rules regulators cared about that no current engineer had written down. A rebuild that quietly changed one of those behaviors would not have been a bug. It would have been a compliance problem.
Regression suites that verified behavior parity between the legacy system and the rebuild were what made a safe cutover possible. Every behavior the old system had was pinned, then compared against the rebuild before any traffic moved. Building and running those suites is exactly the work the Automation Testing Framework now automates.
Outcomes of the full modernization engagement. The regression suites are what let the team change the system without gambling on parity.
Why teams trust AnAr with their code
We built the framework, and we run it.
Not a reseller of someone else's tool. It is built and operated by the same engineers who maintain and modernize client systems.
We test on real, messy codebases.
The framework earns its keep on inherited, production systems, not demo apps, because that is what our clients hand us.
150+ projects. 95% client retention. 12 years of delivery.
The tooling matters because the delivery around it is proven. Clients stay with us for years because the systems we touch keep working.
Your code stays yours.
Source code and IP are protected. Confidentiality terms are agreed in writing before any code is shared, and visibility is limited to the engineers assigned to your engagement.
What teams ask before putting it to work
If your question is not covered below, a short note to our engineering team is the fastest way to a specific answer about your system.
What do you need from us to get started?
The running application. That is genuinely it, no test specs, no annotated code, no requirements document to assemble first. The framework works from the application itself.
Is this a tool we buy, or a service?
A service. Our engineers run the framework and validate the generated tests before they gate anything, so you get the regression coverage and the read on what changed, not another tool for your team to operate.
What does it generate?
A regression suite that pins your system's current behavior, generated from the running application. When a change lands, the suite tells you whether it altered behavior that used to work.
What happens when our application changes?
You run the suite against each new version and get a fresh read on what changed, so the coverage stays meaningful instead of quietly going stale. A regression surfaces in a test result before it reaches a customer.
Can we use it without a full modernization?
Yes. The framework runs from just the application. If all you want is a regression safety net around a system you keep changing, that is a valid engagement in itself, no modernization required.
Is our source code and IP protected?
Yes. Your source code is your IP. Confidentiality terms are agreed in writing before any code is shared, and visibility is limited to the engineers assigned to your engagement.
Tell us what you need tested
A short note is enough to start. Tell us about the system, and our engineering team comes back with a real read on what running the framework on it would involve.
Come to us with:
- A system you keep changing and want a regression safety net around
- A modernization or takeover where parity at cutover is the risk
- An AI-assisted build where the review process has not kept up
- A codebase where nobody is sure what a change will break
You will speak with engineering, not sales. The first reply comes from someone who can answer technical questions about your system, within one business day.
Send a Message
A few details so the right engineer follows up.
Routed to the right engineer
We read what you sent and route it to someone who works in that area, not to a sales queue.
A reply within one business day
You get a substantive response from an engineer, with first thoughts on your system where they are clear.
A review to go deeper
We set up time to look at the system and agree what running the framework on it would involve.
Modernizing a legacy system? See Legacy Application Modernization →
Want the full delivery discipline behind it? See AI-Assisted Development →
See every tool we build: AnAr AI Accelerators →