The Opportunity Boost Development Velocity for Novel AI Medical Insights Platform
Our client’s Q&A healthcare platform empowers doctors to share complex or rare medical cases without revealing patient identities. Fellow physicians can review these cases, offer insights, and contribute to a growing collaborative knowledge base. It features a reward system to drive engagement, offering incentives for professional advice.
The platform has amassed a database of cases and consults through widespread use by the medical community. Recognizing the opportunity to leverage this data, the client partnered with MojoTech to develop an AI-driven, real-time patient consultation tool. MojoTech integrated OpenAI technology to analyze and summarize data to generate real-world treatment insights that streamline medical decision-making and improve patient outcomes.
Given the tool's groundbreaking nature and potential to transform the industry and the client’s bottom line, stakeholders were eager to bring it to market as quickly as possible. Recognizing the urgency, MojoTech leveraged advanced AI tools to accelerate healthcare software development, ensuring a rapid turnaround without compromising quality or innovation.
Our Response Harnessing AI to Build Better Software
Our collaboration went beyond developing AI software. MojoTech’s engineering team leveraged AI throughout the software development lifecycle, achieving exceptional results. Integrating AI engineering tools into our workflow fast-tracked development, debugging, and deployment, delivering features faster.
Smarter Scaffolding with Code Generation
We used code generation to enhance scaffolding and templating. After manually defining a new database access pattern in one module, AI analyzed the latest pattern and our data structures in other modules to autonomously update the remaining modules. This reduced repetitive coding, allowing us to focus on strategic guidance rather than manual implementation. Unlike static templates, AI dynamically adapted to our edge cases, optimizing efficiency and streamlining development.
Reducing Repetitive Work with Autocomplete
Autocomplete tools predicted and suggested code in real time, significantly reducing keystrokes. When we changed one part of the client’s codebase, AI assisted by automatically applying similar changes elsewhere, ensuring consistency and saving us development time. This approach accelerated repetitive coding tasks by anticipating our development intent, reduced errors by enforcing uniformity across the codebase, and enhanced the project's overall productivity by minimizing manual effort.
Improving Code Quality with AI-Assisted Refactoring
MojoTech prides itself on its code quality, and regardless of tight turnaround times, maintaining clean, efficient code remains a top priority. Refactoring is essential but often involves intensive and sometimes error-prone modifications. We leveraged AI refactoring for extensive code optimizations to streamline this process, cutting down unnecessary code while preserving full functionality. The ability to remove redundant code without sacrificing performance is a strong indicator of a healthier, more efficient codebase. AI was instrumental in quickly optimizing the platform, ensuring our high standards remained intact while boosting development for our client.
Intelligent Pair Programming
AI acted as an intelligent pair programmer, enhancing feature development by providing structured insights and expediting decision-making. By crafting targeted prompts that outlined the problem, context, and relevant modules, we guided AI to generate multiple solutions, each with clear pros and cons. This conversational approach allowed for real-time exploration of different implementation paths, making it easier to weigh trade-offs and refine strategies. Much like having a second developer, AI provided instant feedback, enabling more efficient problem-solving and iterative improvements. This agent-driven workflow streamlined development, ensuring smarter, faster, and more strategic feature implementation for our client.
Faster Error Resolution when Debugging
Debugging is time-consuming, potentially requiring us to sift through documentation and scattered online resources to diagnose issues. For our client, we leveraged AI to streamline this workflow, analyzing error messages in real-time and cross-referencing them with the actual codebase to pinpoint problems instantly. Instead of spending hours searching for solutions, AI provided precise, context-aware guidance in seconds, reducing debugging time by at least 50% and reclaiming valuable development hours each week. This method eliminated the frustration of cryptic errors, allowing the team to focus on delivering high-quality software efficiently and on schedule.
Automated Documentation & Testing
Documentation and testing are considered tedious and time-consuming, making them easy to deprioritize, especially under tight deadlines and budget constraints. However, we transformed this process by leveraging AI and generating tests and documentation in minutes instead of hours. This innovation ensured our clients’ codebase was more complete and resilient. As a result, we maintained high standards without sacrificing speed, delivering a superior product with up to 75% time savings.
ResultsDelivering Speed, Precision, and Innovation with AI-Powered Engineering
By combining AI innovation with software engineering excellence, MojoTech helped this healthcare technology partner deliver a transformative tool for the industry. This collaboration demonstrates AI's power to revolutionize healthcare outcomes and how software products are developed, tested, and delivered. Leveraging MojoTech’s AI-driven engineering practices, the product launched quicker than anticipated, with fewer bugs and higher scalability.
Our senior software engineers effectively harness AI tools, maximizing their potential while avoiding common pitfalls like hallucinations. AI generates predictions based on statistical likelihood, which doesn’t guarantee accuracy. Without a strong coding background, an inexperienced developer might blindly trust AI-generated code, unknowingly introducing errors.
MojoTech’s expert engineers know how to craft precise prompts, refine AI output, and critically evaluate its accuracy. They can quickly identify inaccuracies, filter out hallucinations, and leverage AI to accelerate development rather than hinder it. As the industry increasingly uses AI, the divide will grow between those who genuinely understand software engineering and those who rely on AI without a solid foundation.
