JFrog announced a new machine learning (ML) lifecycle integration between JFrog Artifactory and MLflow, an open source software platform originally developed by Databricks.
Before the pandemic, Gartner predicted that by 2024, low-code development would be responsible for more than 65% of application development. With workers distributed and organizations now reliant on digital, this trend looks set to accelerate.
As organizations look to boost their digital agility, low-code solutions make it easy for business users to develop automated solutions without a programming or coding background. This is transforming productivity and removing the pressure on businesses to find enough scarce and expensive developers to build software. Rather than creating an application from scratch, low-code enables services and data to be combined to create custom applications. This ease of use is fueling the rise of citizen developers who can rapidly and cost-effectively develop apps. By harnessing business users, this significantly expands the number of people who can power digital transformation and ensures that the solutions are tailored to the needs of users.
The low-code movement is revolutionizing software development and is being used to automate and streamline processes across the board. There is no doubt about the productivity gains delivered by the ability of domain experts to customize applications, but it's creating concerns around the quality of the software.
For example, the flexibility provided by low-code platforms can create issues as it can lead to fragmentation resulting in file formats no longer working. Therefore, organizations need rules that define what users can customize and what they can't. Otherwise, you could end up with a situation where critical applications are unusable
Enterprises must also ensure that their strategy for testing and maintaining software supports the low-code environment. If not, organizations will rapidly create apps that then face a bottleneck at the testing and maintenance phase. For businesses looking to shift more development to low-code platforms, they need to modernize their test and maintenance strategies to support this new agile environment. In the low-code world, manual testing has no role to play.
Deploying a test automation tool is critical to keep up with the pace of software creation and to allow low-code development to scale within the organization. In addition, quality needs to be evaluated at the user experience level, not code compliance. Making sure that the low-code developers have access to automation tools they can deploy is integral to delivering on the citizen developer trend.
Delivering speed and agility at scale has never been more critical and enterprises will continue to embrace low-code platforms. If organizations don't adapt and modernize their testing strategies, they will become the Achilles heel of citizen developers and the low-code movement.
Industry News
Copado announced the general availability of Test Copilot, the AI-powered test creation assistant.
SmartBear has added no-code test automation powered by GenAI to its Zephyr Scale, the solution that delivers scalable, performant test management inside Jira.
Opsera announced that two new patents have been issued for its Unified DevOps Platform, now totaling nine patents issued for the cloud-native DevOps Platform.
mabl announced the addition of mobile application testing to its platform.
Spectro Cloud announced the achievement of a new Amazon Web Services (AWS) Competency designation.
GitLab announced the general availability of GitLab Duo Chat.
SmartBear announced a new version of its API design and documentation tool, SwaggerHub, integrating Stoplight’s API open source tools.
Red Hat announced updates to Red Hat Trusted Software Supply Chain.
Tricentis announced the latest update to the company’s AI offerings with the launch of Tricentis Copilot, a suite of solutions leveraging generative AI to enhance productivity throughout the entire testing lifecycle.
CIQ launched fully supported, upstream stable kernels for Rocky Linux via the CIQ Enterprise Linux Platform, providing enhanced performance, hardware compatibility and security.
Redgate launched an enterprise version of its database monitoring tool, providing a range of new features to address the challenges of scale and complexity faced by larger organizations.
Snyk announced the expansion of its current partnership with Google Cloud to advance secure code generated by Google Cloud’s generative-AI-powered collaborator service, Gemini Code Assist.
Kong announced the commercial availability of Kong Konnect Dedicated Cloud Gateways on Amazon Web Services (AWS).
Pegasystems announced the general availability of Pega Infinity ’24.1™.