100x Coding with Claude
The author shares their experience using Anthropic's Claude Sonnet 3.5 for a bounty project on The Grid API, highlighting its potential to enhance productivity in software development despite some challenges.
Read original articleThe article discusses the author's experience using Anthropic's Claude Sonnet 3.5 while working on a bounty project involving The Grid API, aimed at enhancing the Solana ecosystem. The author expresses initial disappointment with previous LLMs but hopes Claude will improve the development process. The bounty required creating a working product, detailed documentation, and a market fit analysis, which the author found daunting due to the time-consuming nature of these tasks.
The development process involved prompt engineering, where the author provided Claude with specifications and data to generate ideas and code. While Claude produced a project layout and functional code quickly, it required significant iteration and adjustments, particularly in understanding the data model and implementing features correctly. The author noted that Claude excelled in maintaining context across prompts, a significant improvement over other tools.
Despite the efficiency gains, the author faced challenges with the user interface, particularly in copying code and managing lag. The final product, a VC investment tool, was deployed successfully, but the author highlighted the importance of developer knowledge to ensure best practices were followed. Overall, while Claude demonstrated potential for increasing productivity, the author emphasized that effective use depends heavily on the quality of prompts and context provided. The experience suggests that as LLMs evolve, they could significantly change the landscape of software development, enabling developers to focus more on complex tasks rather than boilerplate coding.
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Ask HN: Am I using AI wrong for code?
The author is concerned about underutilizing AI tools for coding, primarily using Claude for brainstorming and small code snippets, while seeking recommendations for tools that enhance coding productivity and collaboration.
There's a lot of value in skipping months of familiarizing oneself with a certain framework/language and immediately being productive but it doesn't read like the output of someone like Fabrice Bellard (a 100x in my book).
ps. Not 100x if you are a professional. Probably 100x for a beginner. Great all the same.
And then the rest of the post describes the most tedious hand-holding of software that I can imagine. I'm glad I don't spend much time on boilerplate, so I get to skip this.
Cursor.sh is a pretty good alternate but I find it a bit buggy at times. I think for me right now AI is great at:
- Quickly rolling an implementation of something in a completely unfamiliar API/language
- Debugging “conceptual” errors, where the problem is me not understanding something
- Playing “spot the typo”.
- Writing boilerplate you know must have already been done a million times.
It’s not so good at:
- Zero shot a conceptually elegant data schema or project structure
- Debugging obscure errors
- Debugging errors with misleading context provided by the user (aka, your hunch and supplied context is completely wrong and the AI gets confused as well)
If code behaves anything like games, we're going to knock humans out of developing entirely. I'm forecasting that "developer" will disappear as a job title and become a function of what we currently recognise as product. I would be a lot more comfortable in my career prospects if I thought being a 10x developer is good enough.
Once these models become good enough that human review of the code reduces the quality - which will probably take a little while, but looks like it is incoming - then we can probably engineer out the monkey in the middle copy-pasting code.
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Claude 3.5 Sonnet, the latest in the model family, excels in customer support, coding, and humor comprehension. It introduces Artifacts on Claude.ai for real-time interactions, prioritizing safety and privacy. Future plans include Claude 3.5 Haiku and Opus, emphasizing user feedback for continuous improvement.
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Claude.ai introduces Projects feature for Pro and Team users to organize chats, enhance collaboration, and create artifacts like code snippets. North Highland reports productivity gains. Future updates prioritize user-friendly enhancements.
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Ask HN: Am I using AI wrong for code?
The author is concerned about underutilizing AI tools for coding, primarily using Claude for brainstorming and small code snippets, while seeking recommendations for tools that enhance coding productivity and collaboration.