GPT-Synthesizer

GPT-Synthesizer is a free open-source tool, under MIT license, that can help with your software design and code generation for personal or commercial use:

https://github.com/RoboCoachTechnologies/GPT-Synthesizer

GPT Synthesizer is designed for software generation using Large Language Models (LLMs), including among others, GPT, BERT, LLaMA, and Chinchilla. As of now, GPT 3.5 is its default LLM, because it provides a reasonable balance of complexity and cost for generating a large and complex codebase.

If you intend to write a rather small and straight forward software program, you can directly set your prompt in GPT (or other LLMs for that matter), and get your desired output without needing GPT Synthesizer or any other third-party tools. However, if your intended software task is complex, or if you have no idea where to start and how to describe it, GPT Synthesizer can be your best friend. GPT-Synthesizer walks you through the problem statement and explores the design space with you through a carefully moderated interview process.

What makes GPT Synthesizer unique?

The design philosophy of GPT Synthesizer is rooted in the core, and rather contrarian, belief that a single prompt is not enough to build a complete codebase for a complex software. This is mainly due to the fact that, even in the presence of powerful LLMs, there are still many crucial details in the design specification which cannot be effectively captured in a single prompt. Attempting to include every bit of detail in a single prompt, if not impossible, would cause losing efficiency of the LLM engine. Powered by LangChain, GPT Synthesizer captures the design specification, step by step, through an AI-directed dialogue that explores the design space with the user.

GPT Synthesizer interprets the initial prompt as a high-level description of a programming task. Then, through a process, which we name “prompt synthesis”, GPT Synthesizer compiles the initial prompt into multiple program components that the user might need for implementation. This step essentially turns 'unknown unknowns' into 'known unknowns', which can be very helpful for novice programmers who want to understand an overall flow of their desired implementation. Next, GPT Synthesizer and the user collaboratively find out the design details that will be used in the implementation of each program component.

Different users might prefer different levels of interactivity depending on their unique skill set, their level of expertise, as well as the complexity of the task at hand. GPT Synthesizer distinguishes itself from other LLM-based code generation tools by finding the right balance between user participation and AI autonomy.

Demos:
GPT Sythesizer is easy to use. It provides you with an intuitive AI assistant in your command-line interface. Watch these demos to see how GPT Synthesizer works:

GPT-Synthesizer Release v0.0.2 demo: a snake game
GPT-Synthesizer Release v0.0.3 demo: a tic-tac-toe game