Approximately one year ago, Forrester made a prediction stating that citizen development would emerge as the dominant force, with enterprise business leaders assuming control over API strategies. They also anticipated that metaverse standards would remain in a state of disarray while the adoption of value stream management would continue to progress rapidly. Additionally, Forrester foresaw the rise of WebAssembly at the edge. The aforementioned predictions were mostly accurate; however, there were unforeseen elements that eluded our prognostications.

In 2023, the realm of developers experienced a paradigm shift with the advent of AI, much like other facets of technology. Open source projects have transitioned into “ajar source” projects, signifying their partial openness. The popularity of Spotify’s Backstage developer portal experienced significant growth. In recent times, there has been a growing recognition of the significance of initiatives like developer experience. This has led to a realization of their criticality in the software development industry. Additionally, the Google DORA metrics have emerged as a fundamental benchmark for measuring the effectiveness of DevOps practices.

Forecasting Software Development in 2024

Forrester’s prediction on how developers write and adopt code

  • TuringBots are poised to enhance productivity within the software development lifecycle by a notable margin of 15% to 20%. Based on our projections, it is anticipated that AI-powered software development tools will be responsible for generating approximately 10% of the global codebase by the year 2023. Our approach was excessively conservative. In the year 2023, it became abundantly clear that generative AI, also known as genAI, had a profound and exponential influence on the field of software development. By 2024, numerous development teams are expected to transition from the experimental phase to incorporating TuringBots into their software development lifecycle. Software developers can expect a productivity boost of 20–50% on average by utilizing genAI. In fact, some experienced engineers have witnessed their productivity skyrocket to 200% or even higher when leveraging genAI to work with unfamiliar programming languages or libraries. Testers will experience a boost in productivity by approximately 15-20%, while all members of product teams will witness an increase in efficiency of over 10% through the utilization of their assistive TuringBots during the planning and delivery phases. The implementation of GenAI will significantly enhance productivity in both low-code and high-code development across all domains, leading to exponential growth in the future.
  • A greater number of corporate projects will be released under ajar source rather than open source. A partially open-source project has gained dominance. Recently, Meta released a new version of Llama 2 with an “open source” license that expressly limits its use after 700,000 monthly users. Red Hat, in adherence to its obligations under the GPL (GNU General Public License), has ceased the public dissemination of its enterprise modifications. We anticipate that this will initiate a proliferation of additional software licensing strategies, wherein companies label their license as open source when, in reality, it is not truly open but rather partially accessible. Open source enthusiasts will encounter a plethora of custom licenses masquerading as open source but with additional conditions necessitating legal validation. Moreover, an increasing number of enterprises will issue ultimatums to clients demanding access to the source code they rightfully deserve, thereby posing a potential risk of losing valuable customers.
  • The Backstage Framework is poised to emerge as the leading choice for empowering developers with self-service portals. Backstage is a cutting-edge developer portal that Spotify painstakingly created and then gave to the esteemed CNCF (Cloud Native Computing Foundation). The primary objective of this software is to streamline the process of discovering, generating, and overseeing developer assets, including Git repositories, build pipelines, APIs, and infrastructure automation. By offering a single portal that functions as a centralized service for all developers, this will be possible. The proliferation of backstage implementations by various companies is truly remarkable. Noteworthy forks on GitHub indicate the involvement of prominent organizations such as Mercedes-Benz, American Airlines, Ericsson, and Lowe’s. By the year 2024, it is anticipated that the adoption of Backstage will witness significant growth, establishing itself as the leading framework for IT infrastructure and operations teams. Its primary purpose will be to automate, abstract, and present infrastructure capabilities in the form of a developer portal. We anticipate that this will gradually erode the market share of internal API portal vendors as IT departments and developers increasingly prefer a unified portal that caters to all their internal development requirements.

Software development is the process of creating, designing, programming, testing, and maintaining software applications and systems. It encompasses a wide range of activities, from writing code to designing user interfaces, testing for bugs, and deploying the final product. The goal of software development is to produce high-quality, functional, and efficient software that meets the needs of users or businesses.

Here are the key stages in the software development lifecycle:

  1. Requirements Gathering: understanding and documenting the needs and specifications of the software. This involves communicating with stakeholders to determine the features and functionalities required.
  2. Planning: creating a roadmap for the project, including timelines, resource allocation, and task assignments. Project managers and development teams collaborate to plan the development process.
  3. Design: designing the architecture and user interface of the software. This phase involves creating blueprints and mockups that guide the development process.
  4. Implementation (coding): writing the actual code based on the design specifications. Developers use programming languages to build the software, following best practices and coding standards.
  5. Testing: Conduct various tests to identify and fix bugs and ensure that the software meets the specified requirements. Testing can include unit testing, integration testing, system testing, and user acceptance testing.
  6. Deployment: releasing the software for use by end-users. This may involve deploying the software on servers, distributing it to users, or making it available through app stores or other platforms.
  7. Maintenance and Updates: After deployment, developers continue to monitor and maintain the software. This includes fixing any issues that arise, addressing user feedback, and releasing updates to improve or add new features.

Software development can follow different methodologies, such as:

  • Waterfall Model: A linear and sequential approach where each phase must be completed before moving on to the next.
  • Agile: an iterative and flexible approach that emphasizes collaboration, customer feedback, and the ability to adapt to changing requirements throughout the development process.
  • Scrum: A specific agile framework that divides development into fixed-length iterations called sprints, with regular team meetings and feedback sessions.
  • DevOps: integrating development and operations processes to improve collaboration and productivity, often involving continuous integration and continuous delivery (CI/CD) practices.


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