Despite these challenges, the author views them as signposts pointing towards the future, reminding us that innovation is a journey, not a destination. While ChatGPT has its pitfalls, it also brings potential and the promise of what lies ahead. The author concludes by emphasizing that we are still at the beginning of this technological exploration, and these frustrations are part of the learning process.
Key takeaways:
- ChatGPT, an AI-based coding assistant, has limitations such as a lack of context of the whole code base, which can lead to the generation of incompatible or incorrect code.
- ChatGPT is not up-to-date with the latest libraries, such as LangChain and Llama Index, which were released after its knowledge cut-off, limiting its usefulness in building AI apps.
- The tool does not have access to the local file system, which forces users into a tedious cycle of copying and pasting between ChatGPT and their editor, disrupting their workflow.
- While ChatGPT can assist in fixing code, it lacks the ability to truly debug it due to the absence of real-time interaction with the code's execution.