2E Description
2E streamlines the development of IBM i applications by combining design modeling, native code creation, and deployment tools within a unified environment. This integration enables teams to quickly develop and enhance IBM i business applications while maintaining the integrity of existing systems and simplifying the traditional development process. By using 2E, developers can craft applications at a higher level of abstraction, automatically generating native IBM i code, which ultimately boosts productivity, consistency, and the ease of maintenance throughout the entire application lifecycle. The platform supports model-based development, allowing teams to systematically define business rules, data structures, user interfaces, and application logic prior to generating dependable applications tailored for IBM i environments. Additionally, it facilitates organizations in speeding up delivery and elevating application quality, making the development process more user-friendly by significantly lowering the need for manual coding. Furthermore, this innovative approach encourages collaboration among team members, fostering a more efficient workflow and driving overall project success.
2E Alternatives
AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack.
Its Governed Control Model connects business meaning, data structures, transformation rules, dependencies, lineage and technical implementation in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design.
Generated outputs can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, supported Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns.
Because generated outputs are native Microsoft technology, no AnalyticsCreator runtime is required in production. Organisations retain ownership of the resulting implementation and can integrate generated assets into Git, Azure DevOps and CI/CD workflows.
Lineage, documentation and dependency information remain connected to the design, helping teams understand change impact before regenerating affected assets.
Design Intelligence extends this governed project context into AI-assisted data engineering by providing authorised AI tools and agents with structured access to metadata, lineage, dependencies and design rules.
Typical use cases include enterprise data warehouse development, Microsoft Fabric adoption, SQL Server and SSIS modernisation, governed Power BI delivery and repeatable data product engineering.
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Google AI Studio is an all-in-one environment designed for building AI-first applications with Google’s latest models. It supports Gemini, Imagen, Veo, and Gemma, allowing developers to experiment across multiple modalities in one place. The platform emphasizes vibe coding, enabling users to describe what they want and let AI handle the technical heavy lifting. Developers can generate complete, production-ready apps using natural language instructions. One-click deployment makes it easy to move from prototype to live application. Google AI Studio includes a centralized dashboard for API keys, billing, and usage tracking. Detailed logs and rate-limit insights help teams operate efficiently. SDK support for Python, Node.js, and REST APIs ensures flexibility. Quickstart guides reduce onboarding time to minutes. Overall, Google AI Studio blends experimentation, vibe coding, and scalable production into a single workflow.
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Amazon CodeWhisperer
Enhance your app development speed with a machine learning-driven coding assistant. This innovative tool boosts application creation by providing automatic code suggestions tailored to the code and comments within your integrated development environment (IDE). It enables developers to responsibly leverage artificial intelligence (AI) for crafting applications that are both syntactically correct and secure. Rather than hunting for and modifying code snippets online, you can effortlessly generate entire functions and logical blocks. Maintain your focus without leaving the IDE, as you receive real-time, personalized code suggestions for all your projects in Java, Python, and JavaScript. Amazon CodeWhisperer serves as an ML-enhanced service designed to elevate developer efficiency by offering code recommendations based on natural language comments and existing code within the IDE. This tool not only accelerates both frontend and backend development but also saves valuable time by assisting in generating code to build and train your machine learning models, ultimately streamlining the entire development process. With such capabilities, developers can innovate faster than ever before.
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Endevor
Broadcom Endevor is a mainframe DevOps and software management platform built to help organizations securely manage, build, and deploy enterprise applications. The platform automates development workflows while maintaining strict compliance, traceability, and governance across mission-critical software environments. Endevor enables businesses to modernize mainframe development by supporting Git integration, CI/CD automation, REST APIs, and contemporary DevOps practices without requiring high-risk source code migrations. The solution includes innovative tools such as Bridge for Git, Team Build, Explorer for Endevor, and Endevor Web Services to streamline hybrid and Git-native workflows. Developers can work within multiple environments including ISPF, Eclipse, Zowe CLI, and VS Code with Code4z support for greater flexibility and productivity. Endevor also improves supply chain security by generating digitally signed software bills of materials to support compliance and vulnerability management initiatives. The platform’s webhook-driven Agile integrations and extensible audit capabilities provide organizations with improved visibility and operational control throughout the software lifecycle. Broadcom also offers beta capabilities such as Code4z Assistant and Insights dashboards to enhance AI-assisted development workflows and DevOps analytics. Endevor supports both traditional modernization approaches and enterprise Git-based workflows, allowing organizations to modernize at their own pace. Designed for enterprise mainframe operations, the platform helps businesses improve software delivery speed, strengthen governance, and reduce modernization risks.
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Integrations
Company Details
Company:
Broadcom
Year Founded:
1991
Headquarters:
United States
Website:
www.broadcom.com/products/software/app-dev/2e
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Training Videos
Customer Support
Online Support
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