Very impressive!
I knew what Zvonimir and the team were working on and was still floored when I saw the demo.
The ability to basically write a tech spec from user requirements, then plan the project and then execute it step by step is a game changer, and a definitive difference from other "code-with-ai" tools out there.
I also like that it shows you exactly what it's doing along the way (so you know why it does what it does), and that it asks you to allow it to run commands (I'm wary of just giving some AI full control of my terminal).
Amazing work so far, looking forward to using this and seeing you grow the product!
I'm genuinely impressed with GPT Pilot! After trying it out, I can't help but feel excited about its future developments and where it's headed.
Regarding the underlying LLMs, are they fixed, or do users have the option to choose between different models, such as ChatGPT3.5, ChatGPT4, or LLAMA?
Wow! This project looks really impressive!
I have a question regarding the "plan for development" phase - do you create unit tests for each planning step?
Conceptually very interesting approach based on what experienced software developers know by their heart: test-driven development is the fastest way to develop high-quality software. GPT Pilot is a tool that automates such a process resulting in high-quality code at a fraction of the time and cost invested.
Being able to offload 95% of coding tasks to AI seems awesome!
What specific coding tasks can be automated with GPT Pilot?
Keep up the great work and congratulations on the launch @zvonimir_sabljic1!
GPT-Pilot is an innovative tool that leverages the power of GPT to assist in software development processes. It's designed to be a virtual assistant for developers, aiding in tasks ranging from high-level project planning to detailed code implementation.
Key Features:
➨ Modular Design: The project is structured with various agents like Developer, Product Owner, Tech Lead, Code Monkey, and Architect. Each agent has a specific role, ensuring that the tool can cater to various aspects of the software development lifecycle.
➨ Prompt System: GPT-Pilot uses a series of prompts to guide the development process. These prompts cover a wide range of tasks, including high-level questions, user stories, development planning, task breakdown, code steps, automated testing, and more.
➨ Error Handling: The tool is equipped with prompts that help developers address errors during the development process, ensuring smoother iterations and reduced debugging time.
➨ Python-based: GPT-Pilot is primarily written in Python, making it accessible and easy to integrate with other tools and platforms.
Pros:
➨ Comprehensive approach to software development assistance.
➨ Modular design allows for flexibility and scalability.
➨ The prompt system ensures a guided and structured development process.
➨ Can potentially reduce the time spent on debugging and error handling.
Final Thoughts:
GPT-Pilot is a promising tool for developers looking to harness the power of GPT in their software development processes. Its modular design and comprehensive prompt system make it a versatile assistant for various stages of development. While there might be a learning curve, the potential benefits in terms of time-saving and enhanced productivity make it worth exploring.
This is an interesting idea! not sure how effective will be, but if it works then can solve the problem for many service companies out there. So I have a few questions.
1. Will it work for any framework or environment?
2. Will this terminate entry and medium-level profile?
3. Does it include monitoring and fixing or debugging issues?
