
Unlock the Full Potential of AI-Powered Software Development
Learn about the benefits of high-performance low-code and AI working together to deliver 100x productivity and 30% growth in team skills.
AI-assisted development uses machine-learning (ML) models developed from millions of anonymized code patterns to recommend the correct tools and patterns for any developer situation to the developer. It’s designed to increase focus and productivity by helping users create logic flows faster and with more confidence, even for complex tasks.
There are two main benefits to AI-Assisted development:
Essentially, a virtual expert fills the role of a tech lead, providing guidance, doing some of the more common tasks, conducting the code review, and validating the quality of the software. How AI assists in the development process throughout the software development lifecycle (SDLC) can be divided into three main buckets.
AI-assisted development automates common operations that are repetitive and time-consuming, including testing. Machine learning (ML) models based on millions of anonymized patterns can suggest and even choose next best steps in development. If an application fails a test, AI can also provide feedback to the developer about the areas that need to be remedied. As a result, developers are more productive and engaged, and novices benefit from the lessons learned from similar programming.
AI-assisted development includes discovery tools that analyze application dependencies, identifying violations and “red flagging” the elements (actions, screens, entities) that are assembled in the wrong place. They enforce best practices and identify duplicate code while enabling teams to keep pace with accelerated production schedules.
During the application development process, developers sometimes get stuck. AI-assisted development helps them find what they are looking for and get them back on track sooner. For instance, contextualized search experience accessed from the development environment can bring up online resources that might help to complete the task they are undertaking. And next-step suggestions walk developers through logic flows.
Examples of AI-assisted development include:
Elite DevOps performers are pushing out clean code into production environments multiple times a day. There is no way that this velocity can be maintained – let alone improved upon – without the automation provided by AI.
At OutSystems, our mission is to enable every company to innovate through the power of software. By adding AI to all stages of the development process, the OutSystems low-code platform helps development teams maximize their existing capabilities, freeing them to focus on the software that truly makes the difference, instead of wasting their time on just keeping the lights on. Our vision for the future of AI-assisted rapid software development includes: