Be it green field projects through code generation or quality engineering through test case generation, test automation, and script generation – AiDE™ SDLC is a one-stop solution that unlocks the potential of generative AI while addressing all enterprise risk concerns.
Powered by the proprietary AiDE™ Fabric LLMs, AiDE™ SDLC is optimized for cost, performance, and quality.Schedule a demo
AiDE™ SDLC can help write user stories and translate them into code based on the configured tech stack, business-specific coding guidelines, and rules. These code snippets include both frontend and backend code. By reducing development and testing efforts by up to 40%, AiDE™ SDLC can significantly improve process efficiency and speed to market.
AiDE™ SDLC can help with test case generation, test automation, and defect analysis. It can analyze test results, predict defects, and recommend test cases for better coverage. Shifting left on the quality engineering lifecycle, with unit test case creation in the dev process itself. AiDE™ SDLC can also automate testing by identifying regression suites and test cases that can be automated, reducing testing time and improving overall software quality.
AiDE™ SDLC can assist with data and analytics by leveraging its advanced machine learning capabilities to analyze large volumes of data. It can extract valuable insights, detect patterns, and make predictions, enabling businesses to make data-driven decisions, identify trends, and optimize operations for improved performance and outcomes.
AiDE™ SDLC can convert ideas and user stories to wireframes, visual designs, and generate the associated style guides for the downstream development process. Solutions built on AiDE™ SDLC offer conversational UX to transform customer experiences, recommendations, and payments, thereby enhancing customer loyalty.
AiDE™ SDLC can help sales and marketing teams in various ways, such as market research, lead generation, customer engagement, personalized and localized content creation and recommendations, and predictive analytics. It can analyze large amounts of data to identify trends and provide insights to improve sales and marketing strategies. It can also be used to create collateral and visuals for marketing requirements. Enabling human team members to focus on high-value activities.
AiDE™ SDLC can automate repetitive tasks such as contract review, document drafting, and financial analysis. It can also provide real-time insights and predictions based on data analysis, assist in compliance, and ensure accuracy in reporting and calculations. This results in increased efficiency, reduced errors, and improved decision-making.
Our generative AI solutions built on the foundation of AiDE™ focus on providing next-gen conversational AI experiences to end-users, with end-to-end automation and proactive insights. Entirely transforming the way in which users interact with the business.
Traditionally, chatbots have been structured and guided, requiring significant manual effort to train and update. This often results in a limited and frustrating experience for users. AiDE™ Chat solves this problem …
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AiDE™ SDLC, an enterprise generative AI platform, acts as an enabler for designers, engineers, testers, and support/operations to improve productivity, increase speed to market and reduce costs for their clients/business. Use it across the board for maximum productivity.
Leverage AiDE™ SDLC to enhance the product development life cycle for any use case. The tech stack, coding, and security guidelines are pre-configurable in AiDE™ SDLC. AI software development enables AiDE™ SDLC to seamlessly generate code for implementing business logic, data models, database queries, and API endpoints as well as UI components, user interfaces, responsive layouts, and build systems based on natural language input.
AiDE™ SDLC simplifies the generation of end-to-end test cases for both manual and automation testing while adhering to coding standards and best practices. It aids in unit testing by generating test code for individual code units or components, as well as code for non-functional testing, continuous testing, and code coverage analysis. With our AI-powered software quality engineering services, we can help reduce the required time and effort.
AiDE™ SDLC is extremely helpful for cloud-native development, cloud infrastructure provisioning, cloud automation, cloud cost optimization, and cloud security– by generating code that follows best practices, automates common tasks, and integrates with cloud services and tools.
AiDE™ SDLC enables code generation that facilitates querying and analyzing data. It can help with the extraction, transformation, and loading (ETL) of data from various sources into a centralized location for analysis. All our engineers are adept at using AiDE™ SDLC to generate code that optimizes data warehouse schema for better query performance and data exploration. Our AI and ML-driven analytics preprocess the data to transform complex information into valuable insights.
AiDE™ SDLC enables automated building and training of machine learning models for natural language processing tasks such as sentiment analysis, text classification, and computer vision tasks such as object detection and image segmentation. The combination of prompt engineering and natural language processing allows engineers to focus on complex tasks such as developing custom loss functions and novel model architectures.
Powered by artificial intelligence, AiDE™ SDLC helps modernize legacy systems by not only generating code for new components and integrating them with existing systems but also providing guidelines for a comprehensive architecture framework. Whether it is moving to a microservices-based architecture, migrating to the cloud, or generating a recommendation engine, AiDE™ can transform your monolithic systems.
AiDE™ SDLC enables the generation of code that tests for common vulnerabilities, including SQL injection and cross-site scripting (XSS), and can integrate with security tools such as static code analyzers and vulnerability scanners to automate security testing in the development pipeline.
The generated code is also designed to work with monitoring tools to collect and visualize metrics, as well as logging tools to collect and analyze logs for troubleshooting, ensuring efficient monitoring and observability.
Moreover, AiDE™ SDLC has generative AI tools that can create code snippets compatible with Infrastructure as Code (IaC) tools. This helps automate infrastructure deployment, reduce errors, and improve overall reliability.
AiDE™ SDLC utilizes prompt engineering and generative AI to elevate the process of generating ideas, suggesting user workflows, and creating code snippets for responsive web design. It follows accessibility guidelines and standards to style user interfaces.
AiDE™ SDLC streamlines the reporting process by automating report generation and creating intuitive charts, graphs, and dashboards to present insights to stakeholders. Additionally, it supports natural language querying, enabling business users to easily access and analyze data through conversational language.
Use our AI programming assistant, AiDE™ SDLC to generate scripts for monitoring network performance metrics such as latency, packet loss, and jitter, automating actions to address issues as they arise, and for common service desk tasks such as ticket creation, assignment, and resolution. With AiDE™ SDLC, you can automate infrastructure management tasks such as server provisioning, configuration, and maintenance.
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