Lessons from Building StackSpot AI: A Contextualized AI Coding Assistant

Abstract

With their exceptional natural language processing capabilities, tools based on Large Language Models (LLMs) like ChatGPT and CoPilot have swiftly become indispensable resources in the software developer's toolkit. While recent studies suggest the potential productivity gains these tools can unlock, users still encounter drawbacks, such as generic or incorrect answers. Additionally, the pursuit of improved responses often leads to extensive prompt engineering efforts, diverting valuable time from writing code that delivers actual value. To address these challenges, a new breed of tools, built atop LLMs, is emerging. These tools aim to mitigate drawbacks by employing techniques like fine-tuning or enriching user prompts with contextualized information.

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