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  • The Future of DevOps is No-Code

    The need for high-quality DevOps personnel is skyrocketing, but it is harder than ever to find enough staff. It is possible to augment your DevOps organization using no-code and low-code tooling. Low-code and no-code tools can free up existing developers by reducing the time spent on integrating and administering DevOps toolsets.

  • Moldable Development: Guiding Technical Decisions without Reading Code

    Developers spend most of their time reading code. Moldable Development challenges reading as a means to gather information from the system, by creating custom tools that show the problem in a way that makes it comfortable to understand. The solution typically follows quickly afterward. Glamorous Toolkit is a moldable development environment designed to decrease the cost of custom tools.

  • AI for Software Developers: a Future or a New Reality?

    In this article, author Nikita Povarov discusses the role AI/ML plays in software development and how tasks like code completion, code search, and bug detection can be powered by machine learning. But he also explains why a complete replacement of programmers by algorithms isn't going happen any time soon.

  • How to Fight Climate Change as a Software Engineer

    We need to reduce and eliminate greenhouse gas emissions to stop climate change. But what role does software play, and what can software engineers do? Let’s take a look under the hood to uncover the relationship between greenhouse gas emissions and software, learn about the impact that we can have, and identify concrete ways to reduce emissions when creating and running software.

  • Insights into the Emerging Prevalence of Software Vulnerabilities

    The software exploit landscape is constantly evolving and organizations need to be structured to stay ahead of these risks. A solid platform built on software best practices, education, and a good understanding of the threat landscape is critical to a strong defensive posture.

  • The Renaissance of Code Documentation: Introducing Code Walkthrough

    The Continuous Documentation methodology is a useful paradigm that helps ensure that high-quality documentation is created, maintained, and readily available. Code Walkthroughs take the reader on a “walk” — visiting at least two stations in the code — describe flows and interactions, and often incorporate code snippets.

  • Soulful Socio-Technical Architecture

    Happy developers make happy customers and stakeholders. Authority is ineffective with competent and knowledgeable teams. Socio-technical systems design provides a new worldview of what constitutes quality of working life and humanism at work. To create a magic environment where the soul of our teams can thrive, we need to create the conditions for strong relationships to develop and flourish.

  • How to Not Lose Your Job to Low-Code Software

    The uptake of low code software is so strong that it will almost certainly make its way into your organization. Most software engineers shouldn’t be concerned about this because they are good at the things that low code software is not yet good at. The key to surviving and thriving during this change is ensuring that your role encompasses responsibilities that low code can’t yet do.

  • Increasing Developer Effectiveness by Optimizing Feedback Loops

    We can think of engineering as a series of feedback loops: simple tasks that developers do and then validate to get feedback, which might be by a colleague, a system (i.e. an automation) or an end user. Using a framework of feedback loops we have a way of measuring and prioritizing the improvements we need to do to optimize developer effectiveness.

  • Testing Games is Not a Game

    Testing video games goes beyond or differs in general from what Quality Assurance means and represents. It brings a new subset of responsibilities and skills intrinsic to the gaming industry. This article provides insights about the game industry, the role of the game tester, thoughts on challenges, and the learnings of testing games.

  • Agile Development Applied to Machine Learning Projects

    Machine learning is a powerful new tool, but how does it fit in your agile development? Developing ML with agile has a few challenges that new teams coming up in the space need to be prepared for - from new roles like data scientists to concerns in reproducibility and dependency management.

  • Q&A on the Book Competing with Unicorns

    The book Competing with Unicorns by Jonathan Rasmusson explores the culture of tech unicorns like Google, Amazon, and Spotify, and dives into the techniques and practices that they use to develop software.

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