Software & Systems Modelling


J2Bot is a powerful Codebot on the Codebots platform that transforms structured models into fully functional full-stack applications instantly. By combining models, templates, and automated pipelines, J2Bot generates complete backend services (Java/Spring Boot), frontend components (React/TypeScript), PostgreSQL schemas, tests, and documentation from a single model. This eliminates weeks of manual coding, delivering production-ready applications in hours while ensuring consistency, quality, and traceability. J2Bot follows core principles like convention over configuration, separation of concerns, and continuous integration, making it a transformative tool for rapidly turning ideas into reliable software.

Modernising legacy systems starts with Discovery—understanding what exists, capturing real business needs (not just assumptions), and identifying risks early. At WorkingMouse, this means engaging SMEs, modelling requirements with traceability, and focusing on like-for-like modernisation to reduce risk before optimisation. Discovery sets the foundation for successful delivery by aligning goals, compliance, and technical feasibility right from the start.

Governments are modernising outdated IT systems to meet public demand for efficient, secure digital services. Challenges include legacy systems, data security, user-focused design, and budget limits. Solutions involve cloud adoption, improved cybersecurity, and phased, cost-effective upgrades, as shown in partnerships like Queensland TMR and NSW Police. By embracing agile methods and expert collaboration, governments can enhance service delivery, security, and citizen satisfaction.

The enterprise software landscape is moving toward a SaaS contraction as businesses simplify systems to reduce complexity and costs. With too many SaaS tools creating frustration and technical debt, companies need to focus on streamlining, improving cybersecurity, and integrating key solutions. Simplifying operations will cut unnecessary tools, lower costs, and reduce risks.

WorkingMouse is committed to inspiring future tech leaders through initiatives like the InspireU STEM Camp. By providing Aboriginal and Torres Strait Islander students with hands-on tech experience and mentorship, we empower them to explore STEM careers and envision their future in the industry.

Chronicles the journey of WorkingMouse as it navigated the complexities of becoming a leader in legacy system modernisation for government and enterprise sectors. It delves into the company’s early struggles, including operational missteps, challenging client relationships, and the development of innovative tools like Codebots. Through pivotal decisions and key moments, the article highlights how WorkingMouse refined its approach by focusing on people, processes, and tools, ultimately evolving into a trusted partner for modernising critical systems. The article also reflects on the lessons learned and the company’s vision for the future, emphasizing the importance of balance, connection, innovation, and mastery in software development services.

WorkingMouse’s Codebots tool automates end-user documentation by linking model changes to documentation updates. It uses a higher level of abstraction and automated testing with tools like Playwright to ensure documentation stays current with system updates. The tool integrates models, tests, and documentation, streamlining updates and reducing labor, making it ideal for modernizing legacy systems.

Codebots’ new reports and analytics module offers customizable dashboards, a query builder for complex SQL queries, and integration with any relational database. It enables users to create, save, and export reports in PDF format, democratizing data access and enhancing reporting features. Suitable for both beginners and experienced users, the app transforms data into actionable insights with user-friendly and advanced querying options

This article explores challenges with legacy systems based on stakeholder feedback, highlighting five main themes: system performance and integration issues, data management problems, inflexibility and the need for modernization, poor user experience, and policy/budget constraints. While the feedback points to significant hurdles, it emphasizes that modernization efforts must balance current constraints and operational needs. WorkingMouse suggests a strategic, incremental approach to modernizing core systems, starting with improvements in satellite systems and addressing fundamental issues to enhance overall efficiency and reduce risks.

The WorkingMouse DevOps Report provides a comprehensive checklist for ensuring successful software development and support. It outlines key criteria for projects, such as pipeline state, testing coverage, production environment readiness, and documentation. Projects are assessed using a traffic light system (🔴, 🟠, 🟢) to track their progress and completeness. The report emphasizes the importance of investing in these features to maximize project success and operational efficiency, reflecting WorkingMouse's commitment to quality and best practices in DevOps.

Codebots, a platform engineering tool for designing and building software systems, has introduced several new features to enhance usability. Updates include Frame and Grids for better shape positioning, Container Layouts and Multiple Containers for improved organization, and Bulk Editing for easier model maintenance. Future updates will include logic-based models, performance metrics, and single diagram visuals for comprehensive application structure views. These enhancements aim to streamline system design and maintenance, making Codebots more powerful and user-friendly.

Choosing the right software type—Proof of Concept (PoC), Minimum Viable Product (MVP), or full-scale product—can significantly impact a business’s costs and growth. Off-the-shelf software offers lower upfront costs and immediate use but may lack flexibility. Custom software is tailored to specific needs, offering scalability at a higher initial cost. Hybrid solutions combine both approaches. Comprehensive software documentation, whether for off-the-shelf or custom software, is crucial for maintenance, troubleshooting, and future-proofing. Good documentation minimizes errors, reduces long-term costs, and supports efficient updates.

Over-reliance on generative AI for creating code can lead to issues such as poor understanding, challenging debugging, and potential quality and security risks. AI tools like ChatGPT and GitHub Copilot are useful for generating code snippets and suggestions, but they lack the contextual awareness of human developers and can produce errors. It’s crucial to use AI as a collaborative tool rather than a complete solution, ensuring that human developers review, validate, and integrate AI-generated code to maintain accuracy, security, and adherence to best practices.

In 2024, the Software Readiness Level (SRL) model refines NASA’s TRL and Steve Blank’s IRL, offering a tailored 12-step framework for app development. SRL covers key stages from business model creation and market validation to technical development, testing, and commercialization. It also includes advanced considerations like AI integration, enhanced cybersecurity, and compliance with data privacy regulations. This model ensures software projects stay aligned with modern standards, enabling smoother development and faster market readiness.

Microservices architecture in 2024 is a method of software development that breaks down applications into independently deployable, modular services, each designed to perform a specific function. This approach allows for greater flexibility, scalability, and reduced risk, as services can be modified and deployed individually without impacting the entire system. Unlike monolithic applications, which are tightly coupled, microservices enable teams to scale specific functions efficiently, making them ideal for dynamic, large-scale environments. Companies like Codebots leverage this architecture, using automation to streamline development and deployment processes, enhancing overall software delivery.

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