How to Build an AI Product in just 7 days | Pragmatic Sprint

Product management can be a complex and time-consuming process. From ideation to development, it takes careful planning and execution to create a successful product. However, what if there was a way to build an AI product in just 7 days? The blog post explores efficiently building an AI developer assistant using Visual Studio in a short time.

Accelerated Learning and Time Management

When it comes to product building, time is of the essence. This is where the concept of accelerated learning and time management comes into play. The goal is to learn and build quickly, without wasting time on unnecessary tasks. By focusing on what to build, when to build, what to remove, and what not to build, the development process becomes more streamlined and efficient.

To achieve accelerated learning and time management, it is crucial to be specific about what needs to be done. This means avoiding spending excessive time on wasteful exercises. Prioritizing tasks and addressing them efficiently helps developers save time, accelerating project completion.

The Pragmatic Sprint Process

The Pragmatic Sprint process is a 7-day accelerated MVP (Minimum Viable Product) building approach. Traditionally, building an MVP would take around a month, but with this process, it can be completed in just one week. The philosophy behind this approach is to focus on what truly matters and avoid unnecessary delays in the development cycle.

The Pragmatic Sprint process consists of three key pillars: accelerated learning, time management, and productivity. By aligning these pillars, developers can create an AI developer assistant that meets the specific needs of users working with Visual Studio and C++ programming languages.

The AI Developer Assistant

The AI Developer Assistant, known as RAD AI Developer Assistant, is designed to simplify the coding process in Visual Studio. It handles tasks such as diagnosing build errors, writing unit tests, and even generating code. This streamlined assistant eliminates the pain points often associated with coding in Visual Studio, making it more efficient and user-friendly.

An experienced developer built the AI Developer Assistant, using it to troubleshoot coding issues. With his firsthand experience and understanding of the pain points, he was able to build the AI Developer Assistant in just a matter of days.

The Benefits of Visual Studio and the AI Developer Assistant

Visual Studio is a powerful IDE (Integrated Development Environment) used by developers for writing code. However, compared to Visual Studio Code, it can be somewhat challenging and time-consuming. The AI Developer Assistant solves this problem by streamlining the coding process and improving overall productivity.

With the AI Developer Assistant, developers can focus on the core tasks of coding, while the assistant takes care of diagnosing build errors and writing unit tests. This allows for a smoother and more efficient coding experience, saving developers valuable time and effort.

The Future of Product Building

Building a product, whether it is an AI developer assistant or any other innovative solution, requires a combination of expertise, efficient processes, and time management. The Pragmatic Sprint process and the AI Developer Assistant exemplify how developers can streamline their workflow and build high-quality products in a shorter timeframe.

As technology continues to advance and evolve, the future of product building holds even greater potential. With tools like the AI Developer Assistant and continued focus on accelerated learning and time management, developers will be able to create innovative solutions at an even faster pace, driving progress and pushing boundaries.


The Pragmatic Sprint process and the AI Developer Assistant offer valuable insights into the world of product management and development. By leveraging the power of Visual Studio and employing strategic time management techniques, developers can navigate the complex process of product building with greater efficiency.

As we look toward the future, it is clear that the rapid pace of technological advancement will continue to shape the way we build and develop products. With the right tools, processes, and mindset, developers can embrace this progress and create groundbreaking solutions faster than ever before.

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