Good News for Software Developers: AI/Codeless Tools are Here to Stay

There is an old hispanic saying, “zapatero, a tus zapatos”, which means something like, “cobbler, stick to your shoes”, which could be stated like, “dude, mind your own job”.

A somewhat established myth concerning the software industry, states that neither developers nor SQA testers mess with each other’s businesses. The only problem with such a notion is that nothing could be farther from what day to day reality shows us to be the truth.

First, not only both developers and testers benefit mutually from each other’s work; they have to if they want the whole team and project to run smoothly on their wheels. Second, in the present world, given the heterogeneous economic situations or characteristics of emerging –startup– companies, it is very common for developers to be directly and deeply involved in the whole development process, since it’s them who generally ideate the product and the company.

Since almost 20 years, methodologies like Test Driven Development (TDD) have narrowed the gap between the concerns of both testers and developers, improving the whole synergic dynamic. As an addition to this, as automation testing technologies have emerged and risen to a preponderant place in the development processes, developers have been seen more involved in testing.

Yet, at the end of the day it all boils down to 24 hours. As projects and products scale in size, time constraints begin showing their grim face, and reality is revealed: it’s either more human resources or a new strategy. But if human resources happen not to be a plausible solution, then we’re left with the task of thinking of a new, better strategy.

Automation testing has no doubt been almost like a quantum leap in terms of economizing time and resources; however, as much as automation might have advanced, most automation technologies (frameworks, IDEs, platforms, etc) require a certain level of supervision and expertise, both from the creative and maintenance point of view. Automation scripts and suites are always at the mercy of sudden, unexpected or uncoordinated changes in the code, especially when those changes take place at the UI level. It’s already a known fact that test maintenance can certainly become a nightmare for both testers and developers.

And after all, developers want to do what they enjoy most: developing software; not wasting precious time on worthless, repetitive and tedious tasks.

So, what could solve this trouble for developers?

Artificial Intelligence comes like heaven-sent. Advances in the field of Machine Learning provide developers with the tools to approach and overcome these problems.

Autify is a platform capable of seamlessly creating test cases on the fly, based on recorded test scenarios, which can autonomously adapt by learning the changes in the code through the ML algorithms. Individual test steps can be re-recorded in the same scenario or edited in the same test suite, without needing to write a single line of code.

Besides all this, the overall testing coverage of every project will be expanded, providing better guarantees for bug mitigation, and, for developers especially, it will result in a great ally as a tool, when integrated with a CI/CD pipeline.

In this new age of software development, no code or zero-code tools are almost no problem or zero-problem tools.

You can see our client’s success stories here: https://nocode.autify.com/why-autify

We sincerely encourage you to request for our Free Trial and our Demo for both Web and Mobile products.