Pegasystems announced the general availability of Pega Infinity ’24.1™.
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
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Gearset announced its new CI/CD solution, Long Term Projects in Pipelines.
Rafay Systems has extended the capabilities of its enterprise PaaS for modern infrastructure to support graphics processing unit- (GPU-) based workloads.
NodeScript, a free, low-code developer environment for workflow automation and API integration, is released by UBIO.
IBM announced IBM Test Accelerator for Z, a solution designed to revolutionize testing on IBM Z, a tool that expedites the shift-left approach, fostering smooth collaboration between z/OS developers and testers.
StreamNative launched Ursa, a Kafka-compatible data streaming engine built on top of lakehouse storage.
GitKraken acquired code health innovator, CodeSee.
ServiceNow introduced a new no‑code development studio and new automation capabilities to accelerate and scale digital transformation across the enterprise.
Security Innovation has added new skills assessments to its Base Camp training platform for software security training.
CAST introduced CAST Highlight Extensions Marketplace — an integrated marketplace for the software intelligence product where users can effortlessly browse and download a diverse range of extensions and plugins.
Red Hat and Elastic announced an expanded collaboration to deliver next-generation search experiences supporting retrieval augmented generation (RAG) patterns using Elasticsearch as a preferred vector database solution integrated on Red Hat OpenShift AI.
Traceable AI announced an Early Access Program for its new Generative AI API Security capabilities.