According to Satya Nadella , CEO and new chairman of Microsoft, “In the past, when you thought about software (development), you thought about the people writing the code. In software 2.0, you teach the software to learn from the data.” Nadella was talking about moving to a data-driven approach to software development.

Data-driven software development is not a new concept, but it has found new applications thanks to advances in artificial intelligence and the Internet of Things. For example, the popularity of Python has increased dramatically because of its integration with data science and artificial intelligence.

Because data-driven development is better aligned with business operations than traditional approaches to software development, this method is sure to become even more common as companies seek to build scalable systems .

Data-driven software is central to modern software development. Companies like Google, Amazon, and Facebook have built their success on a data-driven culture. They conduct tens of thousands of experiments every day using data to make better-informed decisions about everything, including product design, hiring algorithms and customer service.

Data science is transforming the way businesses operate by providing more accurate and actionable information about customers and products. It has also radically changed the way software engineers work, allowing them to create products that are more responsive to customer needs.

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When Brendan O’Leary, Senior Development Evangelist at GitLab, was asked what testing best practices he recommends to avoid release delays, he, said, “The more you can consolidate, automate and integrate testing into your entire DevOps flow, the bigger the dividends will be.”

When testers use disparate tools to create and run tests, and developers use different tools for product deployment, the proliferation of different tools makes it difficult for organizations to create a unified DevOps flow where teams can more easily collaborate and share information. As a result, these organizations often find that testers and developers duplicate efforts and work on different goals.

O’Leary also recommends starting with automated testing rather than including it in the latter stages. According to him, “While it may be a preliminary investment to start with, the benefit will be that once you have an automated testing program in place, it will be much easier to repeat than to start from scratch.

If you have a solid foundation, such as a deployment pipeline with automated testing, it’s much easier to integrate additional testing tools for specific use cases. This is where DevOps practices can help accelerate the overall development cycle and improve software delivery performance .

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The growing popularity of code-free platforms will change the way we think about software and open up new horizons for a whole new group of “developers.

For Wade Foster, CEO of Zapier, code-free development is about empowerment. As for the future of code-free development, he is very optimistic and believes that :

• In less than a year, there won’t be more code than coding products.
• The first product without code will go public within the next five years.
• Within the next five years, more will be using tools without code.

He’s not the only one who shares these hopes. Gartner predicts that by 2024, 65% of all application development will be low-code, which is considered a revolution .

Indeed, code-free development is democratizing the development process, providing the ability to create scalable technology solutions to a much wider audience and making them easier to use across all industries. Code-free solutions will undoubtedly accelerate innovation and new software products. After all, anyone with a good idea can start a new business with a well-scalable, efficient and customizable product.

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