You can ask an LLM to write benchmarks and to make the code faster. It will find and fix simple performance issues - the low-hanging fruit. If you want it to do better, you can give it better tools and more guidance.

It's probably a good idea to improve your test suite first, to preserve correctness.

To be fair, people do too.

That's very impressive. Your LLM actually wrote a correct code for a full relational database on the first try, like it takes 2.5 seconds to insert 100 rows but it stores them correctly and select is pretty fast. How many humans can do this without a week of debugging? I would suggest you install some profiling tools and ask it to find and address hotspots. SQL Lite had how long and how many people to get to where it is?

In the last month I've done 4 months of work. My output is what a team of 4 would have produced pre-AI (5 with scrum master).

Just like you can't develop musical taste without writing and listening to a lot of music, you can't teach your gut how to architect good code without putting in the effort.

Want to learn how to 10x your coding? Read design patterns, read and write a lot of code by hand, review PRs, hit stumbling blocks and learn.

I noticed the other day how I review AI code in literally seconds. You just develop a knack for filtering out the noise and zooming in on the complex parts.

There are no shortcuts to developing skill and taste.

> I write this as a practitioner, not as a critic. After more than 10 years of professional dev work, I’ve spent the past 6 months integrating LLMs into my daily workflow across multiple projects. LLMs have made it possible for anyone with curiosity and ingenuity to bring their ideas to life quickly, and I really like that! But the number of screenshots of silently wrong output, confidently broken logic, and correct-looking code that fails under scrutiny I have amassed on my disk shows that things are not always as they seem.

Same experience, but the hype bros do only need a shiny screengrab to proclaim the age of "gatekeeping" SWE is over to get their click fix from the unknowingly masses.

I'm sure this is because they are pattern matching masters, if you program them to find something, they are good at that. But you have to know what you're looking for.

[dead]

[dead]