Software & Systems Modelling


Governments are modernising outdated IT systems to meet public demand for efficient, secure digital services.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.


In 2024, protecting Intellectual Property (IP) is essential for businesses seeking a competitive edge. Key registrable IP rights in Australia include trademarks and patents, crucial for safeguarding branding and inventions, especially in tech-driven projects. Non-registrable rights like copyright, trade secrets, and confidential information also play a critical role, particularly in software development. Businesses must carefully manage IP ownership, monitor potential infringements, and ensure robust agreements with contractors. Staying informed about evolving IP laws and using modern tools to protect IP assets are essential strategies for corporate innovators in the digital era.


Rescuing a software application requires a strategic approach, starting with reassessing the situation and identifying the core issues. By addressing resource gaps, evaluating the codebase using AI-driven tools, and determining if migration is necessary, teams can realign the project. Open communication and goal setting are critical to ensuring success, whether working with internal teams or outsourcing to a development company. In 2024, leveraging modern tools like CI/CD pipelines, AI-driven project management, and automated testing can streamline the process, helping to rescue and deliver a successful software project.


This guide helps product owners set a budget for Agile software development projects, balancing business expectations with project realities. Agile projects often reveal effort and time in hindsight, which conflicts with the need for upfront financial planning. To navigate this, product owners should focus on leveraging technology like Codebots to automate coding tasks, use a risk-based estimation method, and employ flexible project trade-offs such as fixed time with variable scope to manage costs and timelines. This approach, alongside Behaviour Field Trials, helps streamline the process and avoid costly overruns.


In 2024, automation helps businesses reduce manual interventions and boost efficiency, allowing staff to focus on more impactful tasks. Key trends include AI and machine learning for data-driven decisions, robotic process automation (RPA) for repetitive tasks, and low-code/no-code platforms empowering non-technical staff. By integrating these technologies, businesses can streamline workflows, enhance customer-centric processes, and leverage real-time data insights, all while driving sustainable digital transformation and staying competitive in the market.


Automation is reshaping software teams, driven by trends like AI and low-code/no-code platforms, which are reducing the need for traditional development roles. Strategies like Jidoka (automation with a human touch), advanced DevOps practices, and Model-Driven Engineering (MDE) with AI integration are helping teams streamline workflows and increase productivity. In 2024, software development is being transformed by AI-powered tools that enable faster, higher-quality outputs while maintaining a balance between automation and craftsmanship.


Codebots remains a top choice for digital transformation in 2024 by offering full ownership of intellectual property and generating high-quality, consistent code. It automates up to 90% of the codebase, increasing productivity and allowing developers to focus on innovation. With streamlined deployment and the ability to scale across platforms, Codebots simplifies digital transformation, helping organisations stay competitive while maintaining control over their digital assets.


DevOps, particularly through CI/CD pipelines, improves software development by automating processes, reducing manual errors, and increasing efficiency. It emphasises quality assurance with built-in testing tools and empowers teams to manage releases independently. In 2024, DevOps practices like automation, improved visibility, and modern tool integration help teams deliver high-quality software faster and at a lower cost.


Third-party APIs are essential for extending software capabilities, saving time, and reducing costs by integrating functionalities from external providers. They allow businesses to tap into expert knowledge, improve efficiency, and scale with ease. However, risks such as vendor lock-in, security vulnerabilities, and versioning issues need to be managed with best practices, including extensive testing, performance monitoring, and resilient design. APIs also play a crucial role in IoT and various industries, making them key to future software innovation.


Post-launch software support is crucial for maintaining and enhancing software. There are different support models: the fixed-cost model provides set support levels for a monthly fee, while the pay-as-you-go model offers flexibility, charging only for actual support used. WorkingMouse uses a pay-as-you-go model, including a triage period to assess issues before fixing them. During triage, issues are categorised as defects, refinements, or improvements. This approach allows clients to control their support budget and adapt to fluctuating support needs. Budgeting 15-20% of the initial development cost for yearly support is recommended.


Effective project management is crucial for successful software development. Choosing the right methodology (Waterfall or Agile) sets the foundation, while roles like Product Owner and Scrum Master ensure alignment and smooth workflows. Key practices include managing tasks efficiently, gathering user feedback, and using iterative processes. The Product Owner prioritises tasks, and the Scrum Master facilitates team progress. Post-launch strategies like App Store Optimization (ASO) and tracking KPIs are essential for long-term success. By integrating these project management practices, teams can ensure a product that meets user needs and drives business growth.


Outsourcing software development allows Australian businesses to save costs, access global talent, and focus on core competencies. While local (onshore) outsourcing offers better communication and market understanding, it can be more expensive. Offshore outsourcing provides cost savings but may involve challenges like time zone differences and communication barriers. To succeed, businesses should carefully choose partners, watch for red flags, and maintain strong communication and collaboration. With the right strategy, outsourcing can drive innovation and efficiency.


Offshoring software development can cut costs by outsourcing tasks to countries with lower wages, but it comes with risks like communication barriers, loss of control, and intellectual property concerns. While offshoring may offer short-term savings, hidden costs and potential challenges often outweigh the benefits. Onshoring, though more expensive upfront, provides better control, quality, communication, and IP protection. The choice between offshoring and onshoring depends on your project’s specific needs, timeline, and budget. For high-risk, critical projects, onshoring is often more reliable, while offshoring suits flexible, cost-sensitive projects.


In today’s digital world, mobile apps are vital for businesses and individuals. Building a successful app requires choosing the right framework, with options like native (Xcode, Android Studio) offering high performance but higher costs, and hybrid (React Native, Ionic, .NET MAUI) providing cross-platform efficiency. Key metrics for app success include speed, reliability, and responsiveness. React Native stands out for its single codebase, active community, cost savings, and fast development features like hot reloading. However, it’s not ideal for apps needing complex interactions. The best framework depends on the app’s specific requirements and desired user experience.


Chakra UI has become a vital component library for modern web development in 2024, especially at WorkingMouse. With its balance of flexibility, simplicity, and robust features, it streamlines the process of building user interfaces. Chakra UI’s integration with React makes it easy to use, while its focus on accessibility, strong documentation, and active community support ensures a seamless developer experience. Its permissive MIT licence fosters open-source collaboration, allowing developers to modify and distribute it freely. Chakra UI is an essential tool for creating efficient, scalable, and accessible web applications.


In 2024, understanding the Total Cost of Ownership (TCO) for software investments is crucial for businesses to avoid unexpected financial surprises. TCO includes start-up, operational, and retirement costs, which often go beyond the initial purchase price. Start-up costs cover licences, implementation, and configuration, while operational expenses include scaling, training, and maintenance. Retirement costs involve software replacement, retraining, and potential downtime. By evaluating these factors, businesses can make informed decisions about whether to choose custom software, which offers long-term flexibility, or subscription-based solutions for shorter-term needs.


Jörn Guy Süß, Head of Research and Development at Codebots, recently spoke at the WorkingMouse office about his presentation at the 2022 MODELS Conference in Montreal. MODELS is a leading conference on model-driven software and systems engineering. Jörn discussed his paper published in the International Journal on Software and Systems Modeling, which highlights the shift from unreliable manual model-driven workflows to modern, repeatable processes using advanced frameworks. His talk delved into the relevance of continuous integration (CI) in model-driven engineering, challenges in applying CI to models, and solutions such as reusing the Ant build system.


In 2024, budgeting for a software application project includes essential monthly expenses such as support ($500 AUD), cloud hosting ($600 AUD), mail servers ($10 AUD), domain hosting ($2 AUD), and SSL certificates ($5 AUD), totalling around $1,117 AUD per month. Optional costs include APIs ($150 AUD), Google Play Store and Apple Developer Account fees, and development platforms like Codebots, which could add up to an extra $246 AUD. Planning these operational expenses upfront ensures smooth project management and helps avoid unexpected costs down the road.


In 2024, WorkingMouse’s experiment with unit test-driven development (TDD) for complex features proved highly effective, complementing end-to-end (E2E) tests. Unit tests caught bugs earlier, required less maintenance, and boosted confidence in long-term projects, especially when integrated with Continuous Integration/Continuous Delivery (CI/CD) pipelines. While E2E tests remain important for simulating user workflows, unit tests are increasingly valuable for managing complex logic and reducing risks in evolving systems. AI-driven tools now also optimise testing efficiency, making both unit and E2E testing strategies more powerful.


Before starting development, WorkingMouse uses “Iteration 0” to ensure projects are set up for success by addressing key preparation tasks. The updated 2024 checklist includes configuring AI-powered tools, adopting microservices architecture, integrating DevOps with CI/CD pipelines, enhancing security protocols, and leveraging low-code platforms. Additional focus on cross-platform testing, documentation, and AI-driven testing ensures projects are aligned with modern trends, promoting efficiency, scalability, and security from the start.


If you’re looking for top software developers in Sydney, here are five standout agencies. Phenomenon Studio offers full-service UX/UI design, mobile, and web development using technologies like React, Laravel, and Flutter. EB Pearls delivers award-winning web and mobile apps with a strong focus on UX research and backend solutions like Node.js and .NET. Other notable firms include Scaleup Consulting, specialising in mobile app development with Flutter and Ionic, CodeClouds, known for cross-platform and enterprise mobile apps, and Blockchain Technologies, which focuses on secure iOS app development with blockchain integration. For more guidance, you can book a complimentary consultation with WorkingMouse to ensure your project is set up for success.


When developing software, it’s crucial to bust common misconceptions. First, software is never truly “finished”; it needs ongoing support and maintenance, especially after launch. Second, just because you know what you want doesn’t mean you can immediately build it—successful software requires user-driven solutions and constant iteration. Misestimating project timelines is common, even with advanced tools in 2024, so don’t assume estimates are firm. Lastly, not all solutions need to be bespoke; consider off-the-shelf alternatives where appropriate, and remember that adding more developers doesn’t always mean faster delivery. Keep these factors in mind for smoother development and better outcomes.


When building an app, whether you’re a startup or enterprise, these 10 tips will help ensure success. First, clearly define your app’s purpose by identifying your customers’ pain points and conducting thorough market research, using AI-driven tools for deeper insights. Keep design simple but distinct, reuse code when possible with cross-platform frameworks like Flutter, and make your app compatible with various OS versions. Performance, testing, and creating a monetisation strategy are essential. Lastly, plan a robust promotion strategy and invest in continuous support and development, leveraging cloud services and AI-driven analytics to stay competitive in 2024.


The Design Conference 2023 emphasised the importance of experimentation for both individual and collective growth. At WorkingMouse, we embrace this mindset by encouraging innovative problem-solving and iterative development processes. A key takeaway from the conference is the idea of “playing with purpose”—experimentation must be intentional, as highlighted by speakers like Bernardo Henning and the Nightjar team. Additionally, the impact of design choices, such as typefaces, on visual communication was explored, with a reminder that design without strategy is merely decoration.


Building custom software involves several key costs, including ongoing maintenance for updates and support, varying hosting expenses depending on service needs, and the importance of hiring a dedicated product owner to reduce costly change requests. Marketing costs can range from traditional methods like TV ads to cost-effective digital strategies, while legal expenses for patenting software ideas in Australia can quickly escalate based on complexity. Don’t overlook the cost of training staff to use the new software effectively. Proper planning and budget allocation are essential for a successful project.


Requesting a software development quote too early in the planning process can lead to inaccurate estimates and project challenges. In 2024, AI and automation enhance the scoping process, allowing for more accurate quotes by analyzing historical data and using rapid prototyping. Lack of detailed information early on increases uncertainty, leading to under/over quoting, which can result in delays and unexpected costs. By embracing thorough scoping, Agile methodology, and modern tools like Jira and Azure DevOps, you can mitigate risks and ensure smoother project outcomes.


Software development is an emotional journey, often filled with excitement at the start but followed by challenges, especially for Product Owners who may struggle with inexperience and the complexity of the process. WorkingMouse’s collaborative approach, enhanced by AI tools and iterative development, ensures smoother progress and regular wins. By focusing on clear goals, avoiding scope creep, and incorporating advanced technologies like AI and machine learning, the development process becomes more efficient. The emphasis on security, sustainability, and transparency helps product owners maintain confidence and stay engaged throughout the project.


In 2024, a traceability matrix offers a more insightful approach to software testing than traditional code coverage. While code coverage measures the percentage of lines tested, a traceability matrix maps tests to specific features, ensuring all requirements are covered and prioritized. This tool provides better visibility into the health of an app for product owners, clarifying which features need attention and improving overall test management. However, it requires consistent tagging and attention to test quality to be fully effective.


In 2024, software project success hinges on mitigating six key constraints: budget, customer satisfaction, meeting user requirements, quality, risk, and time. AI and DevOps are now central in optimizing project timelines, budget estimation, and quality assurance. Enhanced user engagement, automated testing, and improved cybersecurity measures have refined the development process. While challenges persist, incorporating cutting-edge technologies has improved risk management and project success rates, fostering stronger relationships and better outcomes in software and IT projects.


This guide breaks down 12 key software development terms to help you navigate your next project. It covers essential concepts like platforms, technical debt, APIs, product ownership, and project management methodologies (agile vs. waterfall). It also explains the difference between a Proof of Concept (POC), Minimum Viable Product (MVP), and full product development. Understanding these terms will equip you to better manage your software project and ensure a successful outcome.


David Burkett, Head of Growth at WorkingMouse, joined REDD’s Business and Technology podcast to discuss key aspects of custom software development. He covers whether it’s worth building custom software for your business, the development process, hiring in-house vs. outsourcing, and the challenges of offshoring. David also touches on the pros and cons of custom-built software. Watch the full clip for his insights and feel free to reach out to him on LinkedIn or through the contact page!


Software modernization involves several risks including data migration challenges, integration issues, security vulnerabilities, budget overruns, user resistance, and downtime. Effective risk management requires careful planning, thorough risk assessments, and transparent communication. At WorkingMouse, we address these risks using the PRINCE2 framework for structured project management, ensuring proactive handling of potential issues. We implement phased rollouts, rigorous testing, and maintain detailed documentation to mitigate risks and ensure a smooth transition.


Kubernetes (K8s) is an open-source platform that automates the deployment, scaling, and management of containerized applications. It simplifies operations by providing consistent environments across different systems, automating deployment and scaling, and offering robust features like self-healing and rolling updates. Prior to Kubernetes, applications were manually deployed and scaled on physical or virtual servers, leading to inefficiencies. Kubernetes enhances modern app deployment with benefits such as portability, automated operations, and security. At WorkingMouse, Kubernetes is essential for streamlining development processes and enabling advanced integrations, supporting continuous innovation and efficiency.


Jidoka is a methodology that combines automation with human input to boost software quality and efficiency. It uses models and pipelines to streamline development and emphasizes early risk management, non-functional requirements, and continuous improvement. WorkingMouse applies Jidoka principles through AI tools like Codebots to enhance productivity and collaboration. For more details, see our blog on Jidoka.


WorkingMouse was honored as a finalist for the "Putting Queenslander's First" Award at the Buy Queensland Supplier Awards. This recognition highlights our commitment to local employment and community support through initiatives like hiring local talent and investing in Queensland suppliers. The Buy Queensland initiative, which has significantly boosted the state’s economy and created thousands of jobs, aligns with our values of enhancing local tech solutions and workforce. We’re proud to contribute to Queensland’s growth and look forward to further supporting the state's economy and local businesses.


Low-Code Platforms and Internal Development Platforms (IDPs) each offer unique benefits. IDPs provide high control and flexibility, ideal for complex, customized solutions requiring extensive coding by skilled developers. In contrast, Low-Code Platforms enable rapid development with minimal coding, making them suitable for simpler projects and quick prototyping. WorkingMouse's Codebots, an IDP, combines automation with customizable code for both speed and flexibility. Choosing between Low-Code and IDPs depends on project complexity, skill levels, speed, and customization needs, and sometimes integrating both can be the most effective approach.


At WorkingMouse, we use Codebots, our proprietary Internal Development Platform (IDP), to modernize and optimize software systems by integrating Model Driven Engineering (MDE), traditional development, and DevOps practices. Codebots enables stakeholders to collaborate on system models, which are processed to generate application artefacts. The process involves committing models to Git, automating quality control, and using CI/CD pipelines for continuous testing and deployment. The resulting applications are tested, accepted, and then released to production. Codebots supports both technical and non-technical stakeholders, facilitating ongoing system operation and enhancement. This approach offers a comprehensive framework for effective software modernization and management.


Platform engineering, or Internal Development Platforms (IDPs), is crucial for modernizing enterprise software delivery by enhancing developer productivity and accelerating application deployment. IDPs offer integrated tools and automation to simplify development tasks and manage complexity. Codebots, WorkingMouse's IDP, exemplifies this by combining model-driven engineering with DevOps practices to streamline development and ensure high-quality software. Similarly, Backstage.io, developed by Spotify and now part of CNCF, improves developer experience by centralizing tools and documentation. Both Codebots and Backstage.io highlight the importance of platform engineering in driving innovation and efficiency in software development.


WorkingMouse has developed a structured Agile methodology called the Way of Working to ensure consistency across project teams (Pods). This process breaks projects into five stages: Brief, Scope, Development, Environments, and Support, blending these stages for iterative improvement. The Way of Working is continuously evolving based on new insights and lessons learned, so keep an eye out for updates.


Part 2 of our series on The Design Conference 2023 highlights the ongoing influence of place and cultural identity in design. Tyrone Ohia emphasises enriching designs with cultural depth, while Evi-o stresses the importance of respectful cultural representation. Reflecting on these insights, WorkingMouse's reimagined core value, 'Connection with Empathy,' draws inspiration from Indigenous songlines and spirals to represent the interconnectedness of people and land, underscoring the importance of cultural respect and unity in design.


This article outlines our manifesto and journey in software development. Our mission is to lead globally in software applications through innovation, emphasizing the value of people, processes, and tools, now also incorporating education and support. We've refined our team structure to include cross-functional squads for optimal project output and quality, and we emphasize the importance of balance and continuous learning. Our processes are adaptable to customer needs, and our proprietary tools like Codebots drive our innovation. Ultimately, we aim to leverage our expertise to empower partners and excel in digital transformation.


This June, we attended TDC at Brisbane Powerhouse for an inspiring 3 days. The conference featured creative professionals sharing their journeys, with a standout didjeridu performance by Tommy of the Jagera people. The theme of AI in design emerged prominently, with discussions on AI as a collaborator and the responsibility of designers to shape the future. Key takeaways include AI's role in enhancing productivity and vulnerability, and the impact of consumer choices on corporate responsibility. Stay tuned for part 2 for more reflections!


Setbacks are inevitable, but they offer valuable lessons that can drive improvement. By analyzing past experiences, we can avoid repeating mistakes, enhance productivity, foster innovation, and share knowledge across teams. Key lessons from our recent workshop include: using the right tools for the job and staying open to learning new ones; prioritizing functionality over perfection in software development; making products easy and engaging to use; and testing early and often to catch issues before they become problems. Additionally, gathering and acting on user feedback, simplifying XML management with annotations and validation, keeping business logic separate from database calls for modularity, debugging by starting with simple solutions and considering broader impacts, coding with performance and scalability in mind, and reviewing past lessons before starting new projects are all crucial. At WorkingMouse, we capitalize on shared knowledge through interdisciplinary teams and a dedicated repository, ensuring we continuously improve and innovate.


Jidoka is a software development methodology that emphasises automation with a human touch. Its objective is to enhance and elevate the quality of a software project by leveraging models and pipelines. It is different from other methodologies such as Agile, Scrum, Kanban, and DevOps. Jidoka is a holistic approach to software development that optimises the balance between efficiency and effectiveness. The article discusses how Jidoka can be used to tackle software projects and how utilising the concept of Jidoka within an organisation can allow it to thrive.


Codebots has launched a new course called BotCamp, which we use to onboard our development teams. The four-week course, led by experts, covers model-driven engineering, augmented intelligence, and the Codebots product suite. It is now available to the public in Australia, Indonesia, Turkey, Brazil, and the USA. For more details or to register, visit the Codebots website.

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