Has the cost of building software dropped 90%?

The cost of writing simple code has dropped 90%.

If you can reduce a problem to a point where it can be solved by simple code you can get the rest of the solution very quickly.

Reducing a problem to a point where it can be solved with simple code takes a lot of skill and experience and is generally still quite a time-consuming process.

Most of software work is maintaining "legacy" code, that is older systems that have been around for a long time and get a lot of use. I find Claude Code in particular is great at grokking old code bases and making changes to it. I work on one of those old code bases and my productivity increased 10x mostly due to Claude Code's ability to research large code bases, make sense of it, answer questions and making careful surgical changes to it. It also helps with testing and debugging which is huge productivity boost. It's not about its ability to churn out lots of code quickly: it's an extra set of eyes/brain that works much faster that human developer.

This is great. Asking questions of library code is a big pattern of mine too.

Here's an example I saw on twitter. Asking an LLM to document a protocol from the codebase:

https://ampcode.com/threads/T-f02e59f8-e474-493d-9558-11fddf...

Do you think you will be able to capture any of this extra value? I think I'm faster at coding, but the overall corporate project timeline feels about the same. I feel more relaxed and confident that the work can be done. Not sure how to get a raise out of this.

For me, as a remote developer, it means I'm able to finish my work in 1 hour instead of 8 hours. So I'm able to capture "extra value" in the form of time. In our team everyone uses GitHub Copilot and I use Claude Code. My teammates' productivity increased slightly but my productivity increased a lot. This is because 1. Claude Code is just a better coding agent 2. I invested time to get good at agentic coding. Eventually Copilot will catch up and management will realize that now 1 developer can do what previously would take a whole team.

I'm really curious on what your role is, and which industry are you in? I'm awed by these productivity gains others report, but I feel like AI helps in such a small part of my job (implementing specific changes as I direct).

Agentic workflows for me results in bloated code, which is fine when I'm willing to hand over an subsystem to the agent, such as a frontend on a side project and have it vibe code the entire thing. Trying to get clean code erases all/most of my productivity gains, and doesn't spark joy. I find having a back-end-forth with an agent exhausting, probably because I have to build and discard multiple mental models of the proposed solution, since the approach can vary wildly between prompts. An agent can easily switch between using Newton-Raphson and bisection when asked to refactor unrelated arguments, which a human colleague wouldn't do after a code review.

I've come to the same conclusion: If you just want a huge volume of code written as fast as possible, and don't care about 1. how big it is, 2. how fast it runs, 3. how buggy it is, 4. how maintainable or understandable it is, or 5. the overall craftsmanship and artistry of it, then you're probably seeing huge productivity gains! And this is fine for a lot of people and for a lot of companies: Quality really doesn't matter. They just care about shitting out mediocre code as fast as possible.

If you do care about these things, it will take you overall longer to write the code with an LLM than it would by hand-crafting it. I started playing around with Claude on my hobby projects, and found it requires an enormous amount of exhausting handholding and post-processing to get the code to the point where I am really happy with it as a consistent, complete, expressive work of art that I would be willing to sign my name to.