Governments are modernising outdated IT systems to meet public demand for efficient, secure digital services.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