Governments are modernising outdated IT systems to meet public demand for efficient, secure digital services.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