CodeOps: Leveraging AI for Code Reusability and Product Development
Discover how AI-driven CodeOps enables the developer experience and product development.
Explore the transformative realm of CodeOps with Anand Kulkarni, CEO at Crowdbotics. Learn how AI-driven code reuse can streamline product development, saving time and costs.
Every so often, technology endures a paradigm shift. We’ve seen it with the rise of PCs, the web, mobile devices, and the cloud, and now we’re amid another game-changer: AI. The recent focus has been on generative AI, but conventional wisdom on what it means for developers needs to be corrected.
When thinking about generative AI and software development, most people focus on the benefits of code generation. Since there are already billions — if not trillions — of lines of code that have already been written, most miss the opportunity to leverage AI to begin reusing more of the existing code. This new approach requires a new way of thinking about the software development lifecycle. Here are the three major advantages of CodeOps: providing developers and software engineers with a fresh perspective on utilizing AI for code reusability and product development.
What is CodeOps?
The foundation of CodeOps is a straightforward idea: up to 70% of the code that enterprises develop for their apps has already been written, so let’s reuse what’s already been created and stop reinventing the wheel. CodeOps combines AI with systematic code reuse to develop a broad portfolio of applications within an organization.
On average, a new customer portal takes 267 man-hours to build, and based on average U.S. salaries, developing this type of application would cost roughly $20,000. By simply reusing already written code, an organization can reduce the time it takes to develop a customer portal and save upwards of $14,000 of that $20,000 budget. It makes sense that starting from scratch results in depleted resources and slower time-to-market. However, reusing code can be tricky, so more organizations often miss this opportunity. CodeOps addresses the challenges of code reuse and eliminates the repetitive cycle, saving time and money.
Three Advantages of CodeOps
1. Rapid development and iteration
Conventional app development is expensive and incredibly time-consuming, so oftentimes, tech teams will outsource to low- and no-code platforms, but this doesn’t need to happen. CodeOps makes it easy to build an app quickly because most of the hard work is already done for you. Generative AI combined with systematic code reuse holds massive potential as a supportive resource for developers, not replacing them but making their jobs much easier. AI can help define the detailed project requirements. AI can also match existing code modules with the specific project requirements, and finally, we can use AI to assemble those modules into nearly completed applications. Developers are freed up to implement the truly original, differentiating idea and to focus on the finishing touches.
2. Extracting maximum value from hybrid code environments
Think of CodeOps as a magical tool that extracts maximum value from hybrid code environments, encompassing low-code, no-code, full-code, and AI-generated code. This holistic approach leverages the strengths of each paradigm, breaking down silos between different development methodologies. The integration allows organizations to create a seamless development experience, ensuring flexibility and adaptability across diverse coding environments.
3. Complete ownership of code across environments
Another advantage of CodeOps is the complete ownership of code that can be executed in any environment. This is a departure from the constraints that come with using conventional low-code or no-code development methods that require you to outsource to other platforms. With CodeOps, organizations continue to leverage their existing investments in development tools, languages, frameworks, and processes — they are still building real code with CodeOps. They also have the flexibility to deploy their solutions across a multitude of platforms without the need for extensive modifications. Full-code strategies empower developers to maintain control over their IP, keeping access to the underlying codebase.
See More: Transform Your Software Development Strategy
CodeOps in the Real World
1. GenAI-powered calculators
A real-world example of utilizing CodeOps is building GenAI-powered calculators. No matter the industry or the enterprise, a GenAI-powered calculator is a useful interactive component for apps and websites that allows users to input data points, generating useful information to help guide decision-making. Logistics companies rely on this tool for shipping and tracking data, inventory management, or identity verification. Likewise, healthcare providers also find them useful to determine various health statistics, including a patient’s BMI (body mass index), proper medication dosing, and ideal nutritional intake. Utilizing CodeOps and AI to build these calculators is quick and painless because AI uses pre-existing code, significantly reducing the time it takes to release an updated app and at much lower costs than starting from scratch. This is the power of AI.
2. CodeOps in higher education
Another example of CodeOps can be seen in university settings around the world. Many institutions find it difficult to keep up with the rapid advancement of technology while managing tighter budgets due to unstable economic conditions. To remain competitive and relevant in the eyes of both students and faculty, they must come to the table with modernized technology. By relying on AI and systematic code reuse, universities can connect with students for research and innovation purposes, handle administrative tasks, and provide self-service opportunities for students and staff. IT teams don’t have to spend time rewriting hours of code. They can create customizable apps and websites that are scalable and compatible with what they already have. AI enables rapid prototyping and systematic code reuse and taps into reusable code. This is smarter development.
Full-code Is the Future
Developers and organizations must adapt to the changing landscape as technology hurts toward an AI-driven future. This foundation of CodeOps and full-code strategies is a new way to consider embracing AI in software development. By leveraging AI for code reusability and product development, organizations can position themselves at the forefront of innovation, capitalizing on the advantages offered by systemic code reusability. In the era of AI, a foundation of full-code strategies has emerged as a new paradigm, reshaping the way we perceive and approach software development.
How can CodeOps revolutionize the software development process? Let us know on Facebook, X, and LinkedIn. We’d love to hear from you!
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