The cloud-based solution aims to help accelerate the delivery of software in a rapidly-changing world while maintaining a high bar of quality.

Gareth Smith, CTO of Eggplant, said:

“The launch of our cloud platform is a significant milestone in our mission to rid the world of bad software. In our new normal, delivering speed and agility at scale has never been more critical.

Every business can easily tap into Eggplants’ AI-powered automation platform to accelerate the pace of delivery while ensuring a high-quality digital experience.” 

Enterprises have accelerated their shift to the cloud due to the pandemic and resulting increases in things such as home working.

Recent research from Centrify found that 51 percent of businesses which embraced a cloud-first model were able to handle the challenges presented by COVID-19 far more effectively.

Eggplant’s Digital Automation Intelligence (DAI) Platform features:

• Cloud-based end-to-end automation: The scalable fusion engine provides frictionless and efficient continuous and parallel end-to-end testing in the cloud, for any apps and websites, and on any target platforms. 
• Monitoring insights: The addition of advanced user experience (UX) data points and metrics, enables customers to benchmark their applications UX performance. These insights, added to the UX behaviour helps improve SEO. 
• Fully automated self-healing test assets: The use of AI identifies the tests needed and builds and runs them automatically, under full user control. These tests are self-healing, and automatically adapt as the system-under-test evolves.   

The solution helps to support the “citizen developer” movement—using AI to enable no-code/low-code development for people with minimal programming knowledge.

Both cloud and AI ranked highly in a recent study (PDF) by Deloitte of the most relevant technologies “to operate in the new normal”. Cloud and cybersecurity were joint first with 80 percent of respondents, followed by cognitive and AI tools (73%) and the IoT (65%).

Eggplant’s combination of AI and cloud technologies should help businesses to deal with COVID-19’s unique challenges and beyond.

(Photo by CHUTTERSNAP on Unsplash)

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DeepCode’s machine learning-based bot is fluent in JavaScript, TypeScript, Java, C/C++, and Python.

“Our data shows that over 50% of repositories have critical issues and every second pull-request has warnings about issues that need to be fixed,” said Boris Paskalev, CEO and co-founder of DeepCode.

“By using DeepCode, these issues are automatically identified and logically explained as suggestions are made about how to fix them before code is deployed.”

Over the past few months, DeepCode has focused on improving the JavaScript skills of the bot. JavaScript frameworks and libraries such as Vue.js and React are supported. A demo of DeepCode’s analysis of React can be found here.

DeepCode claims its bot is now “up to 50x faster and finding more than double the number of serious bugs over all other tools combined while maintaining over 80% accuracy.”

The bot has been trained using machine learning to analyse hundreds of millions of commits across the vast number of open source projects freely available. DeepCode says it’s able to identify bugs before they happen.

A recent survey by DeepCode found that 85 percent of people want software companies to focus less on new features and more on fixing bugs and security issues.

“Too many software companies still believe that new features are what users want the most,” commented Paskalev. “As this survey shows, what people really want is quality software that is safe to use.”

DeepCode is free for open source software and commercial teams of up to 30 developers. You can start analysing your code by connecting your GitHub, BitBucket, or GitLab account here.

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