Software Development


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.


In 2025, technology consulting will focus on structured team topologies, digital twin technology, and strong ESG priorities. Simplifying user experience, using model-driven metrics, and integrating meta and visual modeling are key trends. WorkingMouse aims to compete with major platforms through its advanced, integrated solutions. Adopting these trends will enhance efficiency and client satisfaction.


By 2028, Queensland will advance digital transformation with digital IDs, cybersecurity, and inclusive services. Key goals include addressing diverse demographic needs, leveraging emerging technologies, and enhancing service delivery. Challenges involve managing legacy systems, data sovereignty, and attracting talent. Queensland's proactive approach aims to lead in digital innovation and set a high standard for government efficiency and engagement.


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


Daniel Ferri of Accord Consultancy emphasizes a people-first approach in business and IT consultancy, aligning with WorkingMouse's technology-first philosophy. He advocates for balancing actual, managerial, and visionary processes, transitioning workers from process to knowledge-based roles, and clearly defining responsibilities within organizations. His insights highlight the importance of integrating people, process, and technology for effective modernization.


WM employs metamodels to streamline relationships, automate documentation, and generate code. The original ISMS metamodel managed ISO27001 but has been updated to a modular structure, allowing integration with other standards like ISO 9001. This new metamodel enhances risk management by cross-referencing common ISO models and roles. The ISMS cheat sheet, now integrated with Codebots and Gitlab, updates templates to this modular framework, linking team members to their roles and simplifying risk extraction and verification.


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.


Abstraction in system development involves focusing on core aspects by removing unnecessary details, which can revolutionise how organisations modernise and streamline their processes. Instead of discarding diagrams and artefacts, reusing them for higher-level models can boost productivity, consistency, and quality while cutting costs. The Jidoka philosophy, prioritising automation and quality over speed, highlights that investing in systematic abstraction leads to more cost-effective and agile development. Embracing this approach helps organisations balance quality with cost management and accelerates their path to innovation.


We categorize software modernization into three types: Like-for-Like Replacements, which upgrade outdated systems while preserving existing workflows; Spreadsheets Replacements, which transition from error-prone spreadsheets to scalable custom applications for better data management; and Disparate Systems Replacements, which integrate multiple unconnected systems into a single platform to streamline operations and improve decision-making. Modernizing systems is crucial for managing growth, enhancing efficiency, and ensuring future readiness.


Legacy systems, crucial to many organisations, pose significant cybersecurity risks due to outdated technology, lack of modern security features, and difficulty integrating with current security tools. These systems often run unsupported software, making them easy targets for cyber-attacks. Their complexity and reliance on outdated authentication methods exacerbate the risk. Recent breaches underscore the need for organisations to modernise their systems and adopt advanced security measures to protect sensitive data and stay competitive.


Supporting legacy systems costs Australian state governments over $160M annually. To modernise effectively, ICT leaders should categorise systems by quality and value: replace low-quality, low-value ones with commercial solutions, and prioritise high-value systems for modernisation. Focus on systems that align with business goals, conduct a cost-benefit analysis, and ensure executive support. This approach helps make modernisation cost-effective and strategically aligned with organisational objectives.


Executive buy-in is crucial for successful modernisation projects, as it aligns the project with strategic goals, secures necessary resources, and fosters a culture of innovation. To gain executive support, involve stakeholders early, build a realistic roadmap, and gather customer insights. Successful examples show the value of executive endorsement, while lack of buy-in can lead to project failures. By ensuring executive alignment and maintaining stakeholder engagement, organisations can effectively navigate the complexities of modernisation and achieve long-term success.


Legacy systems often result from rapid technological evolution, inadequate documentation, poor design and architecture, evolving business needs, and organisational resistance to change. These factors make legacy systems challenging to maintain and update. To address these issues, organisations should focus on understanding the root causes, prioritising modernisation, and embracing continuous updates to stay competitive and aligned with business objectives.


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.


In February 2024, WorkingMouse shared insights on "Composite AI & Models for Modernising Government Services" with the Queensland Government Customer and Digital Group. Composite AI involves combining various AI tools to leverage their strengths and address their weaknesses. Key updates include using AI tools like CoPilot for coding, optimizing problems, platform engineering, team topologies, and modeling for shared understanding. The session highlighted the importance of human oversight alongside AI to ensure accuracy and quality. For more details, see the presentation slides and case studies linked.


Legacy systems are often identified by frequent downtime, poor user experience, outdated technology, high maintenance costs, lack of support, and security issues. These systems, while valuable, are challenging to maintain and adapt. Organizations can either replace or modernize legacy systems—replacement involves building or buying new systems, while modernization updates existing systems with modern technology. Modernization is ideal for systems that still offer high business value but suffer from low quality. Due to growing technical debt and evolving needs, modernizing legacy systems is crucial for maintaining business value and adapting to new technologies.


Continuous modernisation involves regularly updating systems, processes, and technologies to stay aligned with evolving business needs and market demands. It offers benefits like enhanced adaptability, innovation, and reduced maintenance. Key inhibitors include resistance to change, lack of resources, and reliance on outdated systems. Jidoka, a methodology combining automation, modelling, and quality, can facilitate continuous modernisation by improving efficiency and collaboration. Embracing continuous modernisation is crucial for remaining competitive and responsive to changing environments.


The Queensland Government's new digital license is a step towards addressing the challenges of digital identity management. As traditional methods like email-based identification become obsolete due to security risks, emerging solutions such as government digital identities, secure third-party verification, and token-based authentication offer a more secure and streamlined approach. The Trusted Digital Identity Framework (TDIF) and initiatives like the National Digital Licence aim to harmonize and simplify identity verification. While technology advances, legal and regional inconsistencies pose challenges. Collaboration between government and private sectors, leveraging technologies like Thales' Digital ID Wallet, will be crucial for creating a secure and efficient digital identity ecosystem.


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, selecting the right project management software is crucial for ensuring efficient project execution and team collaboration. The best tools provide essential features like Gantt charts for scheduling, file storage, task delegation, calendar integration, and discussion boards. Key platforms include TeamGantt for smaller teams with unlimited free storage, Notion for small to medium-sized teams needing comprehensive tools, and Jira for larger teams or those using agile methodologies. GitLab stands out for development teams, integrating project management with DevOps, source control, and CI/CD pipelines. Each tool offers unique advantages based on your team’s size, budget, and specific needs.


Deciding between a mobile app and a web app is a crucial choice for businesses in 2024. Mobile apps offer superior speed, performance, and access to device features like cameras and GPS, but they come with higher development costs and the need for platform-specific builds. Web apps are cost-efficient, accessible across devices, and quicker to develop but rely on internet access and offer limited access to mobile features. The decision should be based on factors like your target audience, budget, desired functionality, and the time required to launch, ensuring the best fit for your business needs.


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, prioritising technology pain points is crucial for efficient business operations and long-term success. Start by assessing your current technology, identifying gaps, and evaluating how well it supports your business processes. Categorise pain points by their impact, focusing on critical issues first, and incorporate quick wins like AI tools or cloud solutions to enhance productivity. With security and compliance as top priorities, adopting a data-driven approach ensures businesses address pressing challenges while setting the foundation for future growth. Regular communication of progress keeps teams engaged and focused on achieving results.


To de-risk and deliver multi-year IT projects, it’s crucial to embrace flexibility, transparency, and early feedback. Agile methodologies, which focus on launching early with essential features, play a key role in managing risks. Success also hinges on stakeholder engagement, adaptive governance, transparent contracting, and automation. Regular feedback, open communication, and trust among teams and clients are fundamental to overcoming challenges and ensuring project success in 2024’s complex IT landscape.


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.


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.


Government departments can develop cost-effective software by first understanding the problem they aim to solve and exploring existing solutions, such as Commercial Off-The-Shelf (COTS) software, to minimise unnecessary development costs. Engaging stakeholders early, conducting interviews, and creating user personas helps ensure the software is accessible and meets user needs, while a Minimum Viable Product (MVP) allows for iterative improvements. By carefully planning, justifying the project with a strong business case, and continuously improving after release, departments can deliver high-quality, budget-friendly software that aligns with public service goals.


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.


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.


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.


OpenID Connect (OIDC) is an identity layer built on top of the OAuth 2.0 protocol, used for secure identity management. It allows applications to verify a user’s identity without directly handling user accounts, simplifying authentication and enhancing security, especially in microservices architectures. The process involves user authentication via a server, code and token exchanges, and access to user information using tokens. OIDC’s flexibility and secure token-based approach make it a key tool for managing identities in modern applications in 2024.


As of 2024, businesses still using AngularJS, which reached end-of-life in 2021, face significant risks including security vulnerabilities, performance issues, and limited developer support. To modernise, consider migrating to the latest version of Angular for smoother updates or switching to popular frameworks like React, Vue, Svelte, or Solid.js. This migration phase also offers a chance to evaluate your application’s performance and user experience. While it’s not too late to modernise, delaying further will increase risks as web technologies continue to advance.


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.


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.


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.


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.


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!


Artificial Intelligence (AI) raises philosophical and ethical questions, especially around its deep learning capabilities, which mimic human brain processes. While AI’s potential for efficiency is significant, concerns about bias, unintended workarounds, and the ability to switch off autonomous systems remain. As AI evolves, ongoing discussions and research aim to mitigate risks and ensure safe advancements. Though these technologies are still in early stages, we must prepare for their future impact.


Building software in 2024 comes with various risks like scope creep, productivity issues, employee turnover, technical challenges, and external factors. Mitigating these risks involves clear communication, effective planning, and using agile methodologies to stay on track. Employing the PRINCE2 Risk Management Approach—identifying, assessing, planning responses, implementing, and communicating—helps manage risks proactively throughout the project. By preparing and monitoring these risks, you can ensure a more successful software development process.


At WorkingMouse, we focus on the Four Golden Signals—latency, traffic, errors, and saturation—to monitor and optimize system performance. These metrics, part of Site Reliability Engineering (SRE) practices, help us maintain stability, identify issues early, and enhance user experience. By integrating these signals into our DevOps reports, we ensure high reliability and performance, prevent downtime, and support effective resource management and security.


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.


Codebots is our proprietary tool that revolutionizes software development by integrating model-driven engineering, augmented intelligence, and DevOps. It automates coding tasks, streamlines operations, and boosts productivity, enhancing cost-effectiveness and resource use. Codebots supports large-scale modernisation and digital transformation, aligning with our ‘Jidoka’ methodology to balance automation with human input. It offers flexibility, prevents vendor lock-in, and has recently advanced to its fourth generation. For more on how Codebots drives innovation and efficiency, visit the Codebots website.


WorkingMouse has achieved ISO 27001 certification, underscoring our commitment to top-tier data security and reliability. ISO 27001 is a global standard for information security management, ensuring the protection of data, compliance, and risk mitigation. This accreditation enhances customer trust by demonstrating our rigorous security practices and adherence to high standards. For more details on our commitment to security, check out our ISO 27001 certification announcement.


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.


Please note that this blog is outdated. For the most current information, visit our updated page


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.


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.

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