InnerSource is a software development strategy that applies open source practices to proprietary code.
By adopting an open source mindset to software development, organizations can close gaps and break down silos, leading to a stronger and tighter software development lifecycle.
“Ultimately, InnerSource helps teams build software faster and work better together—resulting in higher-quality development and better documentation,” said Herschmann.
Developer experience refers to all aspects of interactions between developers and the tools, platforms, processes and people they work with to develop and deliver software products and services. Improving developer experience is critical to succeeding with digital initiatives and building high-performing teams.
Gartner believes that developer experience extends beyond developer tools and technologies. “The tools used in day-to-day work certainly play a role in improving the quality of developer workflows. However, developer experience also depends on nontechnology factors. These include having dedicated time for deep, creative, meaningful work, as well as personal freedom to try new things without the fear of failure,” said Herschmann.
AI-Augmented Software Engineering Teams
AI-augmented software engineering leverages AI technologies to aid software engineering teams in creating and delivering applications faster. They can quickly generate different types of artifacts including design elements, application code or tests cases that they can then refine and reuse thereby accelerating the overall process.
"AI augmented software engineering calls for making software engineering teams more efficient in their work by relieving them of tedious work, rather than letting the technology replace them," said Herschmann.
The combination of available enterprise data, advanced model building capabilities, and generative AI services will result in data enhanced applications that drive better business decisions. AI-empowered applications can enrich the information available in enterprise and applications, automate workflows and build models that assess risk or recommend next best actions.
For success when using AI, software engineering leaders should treat AI model development differently from application development and coordinate activities between development and model-building teams.
Platform engineering is the discipline of building and operating self-service internal developer platforms for software delivery and life cycle management. It helps developers discover, operate, secure, improve and build upon complex, distributed IT systems — especially when they are not technical experts in the underlying systems.
Platforms improve overall developer experience with a curated set of tools and services. They also improve the consistency and quality of IT solutions and reduce redundant tools and processes, consolidate parallel efforts by multiple teams, enforce security and compliance standards, and include pervasive automation.
Digital Immune System
Digital Immunity interlinks practices from the areas of observability, software testing, chaos engineering, software development, site reliability engineering and software supply chain security to ensure high resiliency and quality of applications.
“Many software engineering organizations are already using some of these strategies, but none of these practices by themselves will be sufficient to achieve the goal of building highly-resilient systems,” said Herschmann. “Together these practices constitute a powerful continuous quality approach to ensure that complex digital systems keep running even if the ‘house is on fire’.”
Learn how to build a world-class software engineering organization using the Gartner Software Engineering Score.
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