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Boosting Development Experience with New Python Debugging Features in FICO Xpress Workbench

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In the ever-evolving world of technology, tools and platforms must adapt to meet the growing demands of developers and data scientists. FICO Xpress Workbench, an Integrated Development Environment (IDE), is no exception. It has long been a trusted resource for Operations Research professionals, Data Scientists, and Solution Developers working on analytic and optimization models, services, and Xpress Insight apps written in Python or Xpress Mosel. With its latest release, Xpress Workbench takes a significant leap forward by introducing advanced debugging features that enhance the development experience, particularly for Python/Insight 5 apps. In this blog, we’ll explore these new debugging features and delve into the importance of remote debugging in today’s rapidly changing technological landscape.

Debugging: Unveiling the Power Behind the Code

Before we dive into the new debugging features in Xpress Workbench, let’s first understand the concept of debugging. In software development, debugging is the process of identifying and resolving issues or errors in a program’s code. It’s akin to detective work, where developers scrutinize their code to find and fix bugs, ensuring that the software functions as intended.

Debugging is an indispensable part of the development cycle, and having effective debugging tools can significantly accelerate the development process. With Xpress Workbench’s latest enhancements, Python/Insight apps can now be conveniently debugged locally within the Workbench environment. This means developers can identify and rectify issues before publishing their apps to Xpress Insight, streamlining the development workflow and ensuring the delivery of robust solutions.

The Significance of Remote Debugging Today

Now, let’s shift our focus to the critical topic of remote debugging and why it holds immense importance in today’s software development landscape.

  1. Move to the Cloud: The shift towards cloud computing is undeniable. Organizations are increasingly migrating their applications and services to cloud platforms for scalability, flexibility, and cost-efficiency. Remote debugging allows developers to debug applications running in cloud environments, ensuring that they function correctly in this new paradigm.
  1. Big Datasets Demand Remote Debugging: In the era of big data, working with massive datasets is commonplace. These datasets often exceed the capabilities of a developer’s local machine. Remote debugging enables developers to inspect and troubleshoot applications processing large volumes of data without the limitations of local resources.
  1. Data Regulation and Security: Data privacy and regulation are paramount concerns. In many industries, strict regulations dictate how data should be handled. Remote debugging can be a solution in scenarios where data access is restricted. Developers can diagnose issues without compromising sensitive data.
  1. Step-by-Step Monitoring: In complex applications, it’s essential to monitor and debug specific scenarios systematically. Remote debugging tools provide developers with the ability to step through code execution, making it easier to pinpoint issues and understand the flow of the program.


With these trends in mind, Xpress Workbench’s support for remote debugging becomes increasingly relevant. It empowers developers to adapt to the evolving landscape of software development, whether in the cloud or dealing with large datasets while adhering to stringent data regulations.

Exciting New Debugging Features in Xpress Workbench

The latest release of Xpress Workbench brings a host of enhancements to the debugging experience:

Path-Based Routing: Workbench now utilizes path-based routing, simplifying URL management. This change enhances the overall user experience and streamlines the navigation process.

Automatic ‘debugpy’ Inclusion: Workbench intelligently includes the ‘debugpy’ library in Conda/Pip settings for local debugging, reducing manual configuration efforts for developers.

Insight Version Compatibility: When logged into an Insight server, Workbench compiles Mosel using the appropriate version, ensuring compatibility. This automatic adjustment streamlines the development process.

Flexible Dependency Configuration: Mosel and Python apps can now configure dependencies via Conda, Pip, and R environments. This flexibility allows users to tailor their development environment to their specific needs.

Increased File Upload Limit: Workbench raises the file upload limit from 100MB to 300MB, accommodating larger projects and datasets.

In conclusion, the introduction of advanced debugging features in FICO Xpress Workbench is a game-changer for developers and data scientists. It not only simplifies the debugging process but also aligns with the evolving trends in software development, including cloud migration, big data processing, data regulation, and precise scenario monitoring. With Xpress Workbench’s robust debugging capabilities, developers can confidently tackle complex projects and deliver high-quality solutions in today’s dynamic tech landscape. Stay ahead of the curve with FICO Xpress Workbench’s new debugging features and elevate your development experience.

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