PaaS Company Unlocks 50% Faster Development with AI

A PaaS company faced bottlenecks in crafting reference designs and robust SDK wrappers. To streamline development, they implemented an AI-powered coding assistant. This resulted in a 50% faster product development cycle, 40% reduction in development time, and 30% improvement in code quality.

Client:

The client is a front-runner in the PaaS space. It offers a platform that enables developers to build applications with real-time audio and video functionalities. Their platform provides ready-to-use, widely compatible APIs, eliminating the need for developers to build the underlying infrastructure from scratch.

Problem Statement:

The client’s current system functioned well, but crucial tasks like crafting reference designs, demos, and robust SDK wrappers were incredibly time-consuming and demanded significant expertise. To stay ahead in the fast-paced tech world, they desired to streamline their API and SDK integration process and develop a continuous loop for generating detailed test cases. This would free up valuable time and resources for other business development ventures.

Results:

☑️ Unleash 50% faster product development: The assistant’s ever-learning knowledge base, powered by automated updates, accelerates development by half.

☑️ Shave 40% off your development time: Seamless integration with the core technology lets the coding assistant work effortlessly within the workflow, saving significant development time.

☑️ Deliver 30% more robust code: The assistant’s efficient SDK wrappers and comprehensive test cases ensure high-quality, reliable code.

AI Solution:

The client partnered with Turing AI to develop a coding assistant, leveraging GenAI’s capabilities. This AI, powered by a specialized “codechat-bison-32k” model, seamlessly handles API integration and optimization, providing efficient implementation strategies.

● Enhanced Development: The assistant facilitates efficient reference design, demo creation, and comprehensive test case generation, ensuring robust development.

● Technical Underpinnings: Python and SKLearn power similarity and distance calculations, while Vertex AI and ChromaDB enhance embedding and generation capabilities.

● Knowledge Currency: Integration with a vector database and automatic updates maintain the assistant’s knowledge base with the latest SDK and API information.

● User-Friendly Interface: A user-friendly interface allows developers to interact with the AI coding assistant seamlessly.

● Overall Impact: This AI-powered coding assistant streamlines the development process, enhances efficiency and quality, and reduces development time.

References:

1. PaaS Company Increases Product Development Efficiency by 50% with AI-Powered Coding Assistant

Industry: Software Development
Vendor: Turing AI
Client: PaaS Company