Working Innovative AI Solutions Into Products With Due Diligence
AI is transforming today’s software solutions, which can help deliver greater speed in delivery and reliability. However, AI is only as effective as the data, insight, and intent behind the technology. With AI tools like code generators and automated testing becoming standard, how can you guarantee your development partner is putting in the due diligence required to create a high-quality, durable product that aligns with your vision and withstands high user demand?
Firstly, it is our understanding that solutions paired with AI must be implemented with a thorough understanding of both AI limitations and best coding practices. For this reason, businesses seeking to incorporate streamlining with AI solutions should engage a professional and highly experienced team. Some context, without careful planning an AI-generated application might only perform in ideal conditions, breaking under real-world use. Here we provide a guide to assess the quality of development services with inclusion of AI enhancements to ensure your product is built on solid foundations.
Look for Proven Expertise in Development
It’s essential to choose a development partner that has the necessary expertise and understanding of the context of each development phase to arrive at a product that meets your requirements in the given timeline, whether using AI or solely traditional development processes. With this in place, AI results enhance, not replacing, traditional coding solutions including and through:
- Code Generation. One of the most effective AI applications in software development is automated code generation. AI tools can suggest code or generate entire functions based on developer prompts. For example, a mobile app developer can quickly produce a repetitive code sequence, allowing them to focus on the complex problem-solving and design aspects. For businesses, AI-driven automation accelerates development, reducing costs, and increasing the overall efficiency of project timelines.
- Error Detection. AI-powered debugging tools test to help identify bugs and vulnerabilities in code early on. For example, developers can scan codebases to detect potential issues, ensuring higher quality and reliability. Early error detection prevents costly rework and enhances user satisfaction, ultimately giving businesses a competitive edge by maintaining a consistent user experience.
- Documentation with Natural Language Processing (NLP). This simplifies documentation through Natural Language Processing, automatically updating technical documentation by tracking code changes. It improves documentation accuracy and saves on administration duties. For businesses, automated documentation reduces the resources spent on keeping documentation up-to-date and supports seamless project transitions. These resources are an essential element in the software development life cycle as they allow new members of a team to keep track of technology updates and details regarding new breakthrough implementation procedures.
An Eye on Client Requirements, Purpose and Legacy
- Client Requirements: A clear understanding of client needs is essential from the outset in development. Your development partner should employ AI focusing on gathering and interpreting requirements accurately, translating them into actionable development tasks clearly communicated in timelines. This involves thorough discussions with clients, setting data-driven goals, and establishing measurable objectives to guide the project. Responsive attention to client feedback ensures adherence to agreed-upon specifications and an end-product which aligns with the client vision, from initial design through to deployment.
- Purpose: An added-value development partner will not simply follow a requirement, but will also deliver solutions that dive deeper into immediate needs and overall strategic advantages. Leveraging AI can streamline processes, speed up development timelines, and introduce levels of precision and efficiency that would be difficult to achieve otherwise. Additionally, the benefit of your development provider’s years of experience will result in an outcome that enhances user experience, optimises functionality, and respects client operations and flows. -Legacy: Above all, a quality AI-assisted product development will be crafted with long-term functionality in mind. AI-generated code must meet initial functionality and be developed using core coding principles for sustained and consistent performance. Your partner should deliver well-documented, clean, and maintainable code that facilitates future updates and makes it easier for other developers to work on collaboratively. This paves the way for maintenance or expansion of service at a later stage, keeping products serviceable and scalable.
Ask for an initial face-to-face technology assessment
Before onboarding with any development partner, request an interview to meet their developers and see their capabilities in action. This allows you to appreciate, first-hand, the quality of their work and evaluate their commitment to transparency and communication. The advantage of consulting with a tech specialist is they will flag potential hurdles that your team may not have identified. And their analysis of where your blockers and bottlenecks are may lead to new areas for growth. At FlexiDev, we’re always open to go through our portfolio of successfully realised products for prospective clients.
Let’s Talk About Your Development
Would you like to see how high-quality development combined with intelligent AI solutions can bring your project to life? Let’s chat further. We’ll show you how partnering with FlexiDev delivers results that go beyond code generation. Together, let’s build a solution that performs beautifully today and consistently from then on.
