Blogs

We regularly introduce fresh blog content and updates every few weeks. During our work, we frequently encounter unexpected challenges, and now and then, we stumble upon exciting Eureka moments that we're eager to share.

Understanding Atlassian's Design System and Achieving Uniformity

Written by : Yogesh Rathor on Sep 13, 2024

A design system is like a blueprint for digital products. It's a set of rules and tools that teams use to keep the look and feel of products consistent. A design system streamlines your team's workflow by tackling repetitive tasks and addressing recurring issues, reclaiming valuable time. A design system aids in managing the complexity of product transitions between dark and light themes. A design system teaches new designers about the product and its rules, allowing them to get productive faster.

It has many advantages, but it does not come without some obstacles. One of the challenges is continuous maintenance. Like any other product, the design must be kept up to date to remain relevant.

Public design systems tackle the aforementioned problem in large part since they provide thorough documentation, pre-built components, and design principles. This can greatly minimize the time and effort necessary for the first setup when compared to creating your own system from scratch. Public design systems are often maintained by internal teams or even the open-source community. They frequently issue updates, upgrades, and bug fixes to keep the design system relevant and current with the newest design trends and best practices. This reduces the strain on your team to constantly monitor and update the design system. In this article, we will look at one of the public design systems, the Atlassian Design System.

Deep Dive in Integrating Atlassian Design System Integration
React Integration

@atlaskit Library

For React developers, the Atlaskit library is the foundation for integrating ADS. This library includes a comprehensive set of components written using TypeScript to provide type safety and better interoperability with current JavaScript codebases.

Component Props

Each component in Atlaskit has a well-defined set of props. These properties enable developers to fine-tune and regulate component behavior. For example, a button component may include properties such as appearance, isDisabled, and onClick, which allow developers to quickly alter its behavior and look:

Hooks and Contexts

ADS leverages React hooks and context APIs extensively, promoting a functional programming approach. This methodology enhances code maintainability and state management.

Continuous Integration and Deployment

ADS integration with CI/CD workflows is a simple approach. Because components are published on npm, ADS allows for automated updates and dependency management, ensuring that development teams can always take advantage of the most recent features and enhancements.

Versioning and Publishing

Cross-Browser and Cross-Platform Compatibility:

By following these guidelines, integrating the Atlassian Design System can significantly enhance the consistency and efficiency of your product development process. Whether you're tackling theming complexities or aiming to get new designers up to speed quickly, ADS provides the tools and principles needed for success.


The Role of ChatGPT in Software Development: A Tool, Not a Crutch

Written by : Harshit Sharma on Sep 13, 2024

Artificial intelligence (AI) is rapidly transforming various industries, and software development is no exception. ChatGPT is helpful, but not an answer to every question. Developers should avoid too much reliance on ChatGPT. Developers should know how to use their skills and try to solve the complex problem first on their own to increase their knowledge and self-reliance, and also do research before using AI tools like ChatGPT.

Developers might become overly dependent on AI tools, leading to a decline in their problem-solving skills and deep understanding of programming concepts.

Developers should use their own logic instead to create their designs, avoiding ChatGPT, which may help in building and testing your analytical and logical skills.

The Promises of AI in Software Development
AI tools like ChatGPT are very powerful at solving complex problems and providing instant solutions, which leads to increased efficiency and productivity, allowing developers to focus on more creative and complex aspects of their work.

Risk of using ChatGPT:

Despite ChatGPT’s many benefits, it also comes with lots of risks.

Balancing AI Use with Personal Development

To maximize the benefits of ChatGPT while minimizing its risks, developers should adopt a balanced approach. Here are some strategies to achieve this balance:

Conclusion

As AI advances in every industry, including software development, it's essential for developers to strike a balance between leveraging AI and using their own problem-solving skills. By using chatGPT as a tool rather than a crutch, developers can enhance their productivity while ensuring they continue to grow and excel in their craft. Ultimately, the goal is to use AI to augment human capabilities, not to replace them.

Navigating IDE and OS Compatibility: A Developer's Journey with IntelliJ IDEA

Written by : Shivam Kumar Maurya on Apr 8, 2024

In the dynamic realm of software development, the choice of an Integrated Development Environment (IDE) is akin to selecting the perfect instrument for a craftsperson. It's a decision that profoundly influences productivity, workflow efficiency, and ultimately, the quality of the end product. Among the myriad of options available, IntelliJ IDEA

stands out as a beacon for Java developers, offering a robust platform tailored to their specific needs.


“An IDE is not just a tool; it's a sanctuary where ideas take shape and dreams become code.”


Unleashing the Power of Java Development
IntelliJ IDEA serves as a powerhouse for Java developers, providing a comprehensive suite of features and intelligent tools finely tuned for Java-centric projects. Its seamless integration with Java frameworks and libraries streamlines the development process, empowering developers to translate their logic into code with unparalleled ease.

Elevating Coding Experience
A hallmark of IntelliJ IDEA lies in its advanced code assistance capabilities. Through intelligent code analysis, real-time suggestions, and auto-completion, the IDE significantly enhances coding efficiency, enabling developers to write clean, error-free code swiftly.

Seamless Workflow Integration
Streamlining the development lifecycle, IntelliJ IDEA offers a plethora of integrated tools for testing, building, and deploying applications. From seamless version control integration to automated deployment pipelines, the IDE fosters a cohesive development environment, where developers can focus on innovation rather than administrative tasks.

Navigating Challenges: A Developer's Odyssey

Windows Subsystem for Linux (WSL)
Integrating IntelliJ IDEA within the Windows Subsystem for Linux (WSL) initially seemed promising for developers seeking the best of both worlds – the familiarity of Windows alongside the power of Linux. However, the nascent state of WSL presented unforeseen hurdles. Issues ranging from erratic performance to system slowdowns plagued development efforts, significantly hampering productivity. Despite exhaustive troubleshooting attempts and diligent exploration of potential remedies, the elusive solution to WSL's instability remained beyond grasp. This predicament compelled developers to pivot towards alternative avenues in search of a more conducive development environment.

Windows Woes

Transitioning to a native Windows environment was envisioned as a respite from the challenges encountered with WSL. Yet, as project complexity burgeoned, so did the strain on system resources. The emergence of system lags and exponential memory consumption proved to be a formidable obstacle, undermining the efficiency of development workflows. This unforeseen setback not only impeded project timelines but also served as a litmus test for the resilience of our development setup. Despite valiant efforts to optimize performance and mitigate resource constraints, the specter of system instability persisted, necessitating a paradigm shift in our approach to development.

Embracing Linux

In the quest for a sanctuary conducive to uninterrupted development, the journey ultimately led to the embrace of Linux. Renowned for its open-source ethos and unparalleled performance, Linux emerged as the quintessential platform for nurturing the symbiotic relationship between IntelliJ IDEA and the developer. The migration to Ubuntu 20.04, coupled with the utilization of IntelliJ Ultimate 2024, marked the dawn of a new era characterized by seamless development. Linux's inherent stability and robustness provided an ideal ecosystem for IntelliJ IDEA to thrive, enabling developers to channel their creative energies towards innovation without the encumbrance of technical constraints.

Charting the Course Forward

The odyssey with IntelliJ IDEA underscores two pivotal lessons:

By navigating through the trials and tribulations of different development environments, the odyssey underscores the importance of adaptability and resilience in the face of adversity. It serves as a poignant reminder of the symbiotic relationship between developers and their chosen tools, wherein compatibility and synergy are paramount for fostering productivity and innovation. As we continue to chart our course in the ever-evolving landscape of software development, may our experiences serve as beacons of guidance for fellow developers embarking on their own odysseys of exploration and discovery.

How to start Atlassian applications in standalone debug mode?

Written by : Saurabh Gupta on Nov 7, 2023

How to run atlas standalone command in debug mode?

It is very easy to run atlas standalone in debug mode. Follow the steps below

Atlas run standalone sample

Below is the example which you can use to run Jira version 9.4.11 in standalone mode

atlas-run-standalone --product jira --version 9.4.11 

Provide jvmargs

You just need to provide jvmargs to atlas-run-standalone command. The jvmargs should look like as below :

-agentlib:jdwp=transport=dt_socket,server=y,suspend=n,address=5005

Finally

To run Jira in debug mode, combine the above two by using --jvmargs flag

atlas-run-standalone --product jira --version 9.4.11 --jvmargs '-agentlib:jdwp=transport=dt_socket,server=y,suspend=n,address=5005' 

References :


Note: We have tried and tested this on Jira version 9.4.11 and 9.11.2. Please reach out to us if this no longer works using contact us, we may have a better way by then.