Many respondents highlight that LLMs often produce subpar or incorrect code, and that they lack the ability to understand and adapt to custom or complex tasks. They also emphasize that programming is not just about writing code, but involves a deep understanding of systems, problem-solving, and communication skills. Some respondents suggest that LLMs can be useful tools for programmers, but they will not render programming obsolete.
Key takeaways:
- The discussion revolves around whether programming is dead due to the advent of Language Models like GPT-3 (LLMs). The general consensus is that while LLMs can assist in coding tasks, they cannot replace the need for human programmers.
- Several users highlight that LLMs often generate code that is either incorrect or inefficient, requiring human intervention for debugging and optimization.
- Some users argue that LLMs can be useful tools for programmers, aiding in tasks such as looking up documentation or providing code suggestions, but they are not capable of leading the entire coding process.
- There is a belief that while LLMs may automate some simple programming tasks, there will always be a need for software engineers to design, architect, and implement complex software systems.