Technology media is abuzz with copilots and their potential to deliver exponential productivity gains for software developers. However, organizations need more than copilots to get faster time-to-market at reduced development costs. And then they have other challenges: Software quality, developer experience, and the problem that never goes away - skill gaps.
These are problems that low code platforms promise to solve. Organizations considering developer accelerator platforms for their engineering process should consider how and where copilots fit in. But first let's understand what a copilot does, and share an example.
GitHub Copilot is an AI-powered coding assistant from GitHub and it is already mainstream with software developers. Productivity tools for developers are decades old but are mostly toolsmithy in nature. AI assistants are moving away from being a tool to directly recommending code snippets, functions and even entire algorithms as you type.
And, being AI, this tool learns and gets better as you write. This lends unprecedented speed to the coding process. With Copilot's insights and pair coding, developers should have more time on hand to explore newer coding techniques and uncharted areas. However, GitHub Copilot's output cannot be left unsupervised.
Using suggestions of an AI coding assistant without fully understanding the underlying logic can result in a shallow grasp of the code. Not all suggestions are optimal. Some may even be wrong. Developers need to critically evaluate and test the code before checking it in.
Copilots try, but may not always understand the full context of the project. This leads to irrelevant or inappropriate code suggestions. Then there are critical security considerations while adding code and integrations.
For example, it is true that GitHub Copilot is powerful and can significantly boost productivity - and learning - for developers. However, it's crucial to use it as an aid rather than a substitute, ensuring that code quality, security - and the contentious matter of ethical standards - remain a priority among developers.
Development accelerated platforms, such as those that use low code architecture, are sophisticated environments designed to enable developers to rapidly build applications with minimal or no coding. These platforms offer modular or component architectures that offer transformative software lifecycle benefits and substantial business value. Here are a few significant ones.
For software delivery teams:
For business owners:
Clearly, accelerator platforms and copilots serve different strategic purposes for enterprises and small to medium-sized customers who have embarked on a modernization and digital transformation journey. Accelerator platforms are invaluable for promoting agility, broadening participation in the development process, and fostering a product mindset among solution teams. To enumerate:
In the grand plan of accelerating digital transformation, both copilots and accelerator platforms that use low code and AI, offer significant advantages. While copilots, like GitHub Copilot, do a terrific job of augmenting individual developer capability, accelerator platforms democratize development and enable organizations to build and deploy massive, complex applications at high velocity while maintaining engineering excellence. However, it can be argued that strategic adoption of accelerator platforms truly differentiate organizations, allowing them to scale development, reduce time-to-market, deliver exceptional business outcomes and drive innovation. This is only for now. Because, as technology continues to evolve, embracing accelerator platforms and copilots will not be an option anymore, but a strategic necessity for organizations who are seeking a competitive advantage in the digital age. That said, without a deep understanding of their limitations, organizations risk achieving the opposite of desired results.
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