Carlos Rosales  ·  September 17, 2020 

Augmented Programming, the perfect solution for enhancing software development productivity

Further increase development productivity with Augmented Programming, an AI-powered solution for quicker, more efficient programming.

This image contains two developers interacting with devices and AI.

Further increase development productivity with Augmented Programming, an AI-powered solution for quicker, more efficient programming.

Over the past decade, the software development industry has undergone technological transformations that sparked the need for automated approaches to programming. Innovations in automatic programming solutions, such as code generation tools, have been widely used to enhance productivity and alleviate manual task overload. Unfortunately, most of these tasks still require manual input, which reduces productivity. One of the most promising solutions for manual task overload is Augmented Programming. This groundbreaking low-code solution, which has AI at its core, uses ML (Machine Learning) and RPA (Robotic Process Automation) to generate software and app source code, leading to a substantial increase in software development efficiency.

This image shows how augmented programming highlights the relevance of machine learning

How Augmented Programming enhances the relevance of Machine Learning

Machine Learning —and AI in general— enables systems to learn, perform tasks, and behave automatically, without human intervention. For several years now, it has been fundamental in improving the way developers create apps, software, and web content.

Augmented Programming uses ML algorithms to provide abstractions and data models for developers. Developers then use these abstractions to create the blueprints that prompt the automated generation of software source code. This makes ML essential, not only for programming, but for solving coding problems, boosting efficiency, and creating text in procedural languages such as Java, Python, or HTML.

Augmented Programming not only uses ML to auto-generate source code, but it also assists developers in tedious manual tasks such as code documentation and testing. The core technologies of Augmented Programming (RPA and ML) converge to ease these manual labors by performing tasks such as data management, detection of errors and duplicated codes, form filling, and programmatic operations. This results in a significant decrease in coding times and skyrockets productivity and efficiency when programming and developing software. This systematic increase in productivity is unprecedented and surpasses what traditional code generation tools have done for software development so far.

Image with three laptops and code on their screens

The Evolution of Programming

The impact of Augmented Programming in software development and coding is unprecedented. No other solution has ever provided such a clear improvement in streamlining processes, optimizing research times, reducing errors, and accelerating the software development process while minimizing manual tasks. Ultimately, human brain power and manual input remain at the core of programming. But as AI gains more and more relevancy, it becomes evident that the re-shaping of software development lies in the heart of Augmented Programming.

At Foonkie Monkey, we understand the importance of adapting to technological transformations and adopting innovative programming solutions such as Augmented Programming. If you have any questions, concerns, or doubts, please don’t hesitate to contact us, we’re always here to help!

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