simonjuk

I have this same frustration. The way I use Claude is for it to make edits one small chunk at a time so I can review the code as it writes, and to make sure it's going on the right direction. I find this much easier than generating a large pr I need to review.

More and more I feel like I'm fighting Claude: it edits multiple files using python scripts and it edits in parallel so if I stop it, I have to stop each individual edit. Both of which I've told it not to do repeatedly, but it still does then apologies which is worse.

We recently recruited two developers. Our recruitment process involves asking three questions before the interview stage. Almost every single answer was written by AI - they all followed the same format and presented the answer in the same way, customised to the applicant.

It was mind-numbing. The non-ai applicants were obvious and really stood out as the best answers.

In my experience, there are two ways to use AI: speed or quality. Speed is where you give the AI a task to do and you review it; quality is where you write the code yourself and you get AI to review it. Both are valid for different situations.

I work with public data, and I'd love to get access to this data, but I suspect that although you have scraped the data from public websites, there are licensing and copyright implications for actually using it.

See also the open addresses project by Data Adaptive [1] which is using Freedom of Information requests to publish public council tax address data. The problem they have run into there is that their address datasets are derived from proprietary Ordnance Survey data.

It looks like data.gov.uk is in the process of standardising the planning application process, and publishing them under OGL [2].

[1]: https://www.owenboswarva.com/blog/post-addr44.htm [2]: https://www.planning.data.gov.uk/dataset/planning-applicatio...