Why This Matters
This discussion highlights the ongoing challenge of optimizing how large language models assist in coding, emphasizing the need for innovative approaches beyond traditional prompt-response methods. Improving these tools could significantly enhance developer productivity and creativity, shaping the future of AI-assisted programming. As the industry seeks more seamless integrations, exploring new interaction models is crucial for unlocking AI's full potential in coding workflows.
Key Takeaways
- Current LLM coding tools often disrupt developer flow, leading to frustration.
- Exploring alternative interaction models like tab-based systems may improve usability.
- Innovation in AI coding interfaces is essential for advancing productivity and adoption.
I'm a bit annoyed by the feeling that we're kind of stuck when it comes to using LLMs for programming.
I use Claude Code and Codex, but I haven't been able to enter flow state like I can when I hand write code.
This is kind of ironic to me since AI should be a bicycle for the mind, but right now it feels like a bicycle that just brakes abruptly every couple minutes. I stop, wait, review, prompt again.
Is there anyone exploring something fundamentally different than the prompt response loop we have today?
I actually think the idea of a tab model is directionally better than prompt response.
Would love to hear about any startups, personal experiments, etc.
GoKawiil