After spending some time coding with LLMs, I feel like I've caught my footing and have the following takeaways: Cursor is Worth it For much of my career I'd often have my dev environment yanked away entirely and have to relocate to a temporary F.O.B.  This was usually done to solve some time critical emergency.  Since I didn't know where I'd be when disaster struck I had to be ready for any environment.  I learned to code out of VI because I knew I could count on its availability on whatever piece of hardware I ended up on.  I learned NOT to rely on IDEs. When it came time to try out Cursor as the tool of choice for AI development, I was hesitant.  I stuck to CLI prompts, copying and pasting.  Cursor simplifies the task switching though.  Prompt, inspect, repeat.  Its ability to learn context in-place reduces the friction and allows me to maintain a flow state.  The Bots are Bold If you were speaking with a teammate and something was ambiguou...

 Motivation If you're a young person trying to decide a career path but don't know much about the world and haven't established a particular passion in any field, it stands to reason that an objective measure may provide better guidance than following media hype or a random experiment based on anecdotal evidence. To that end, I asked an LLM for an analogous measure to the Sharpe Ratio used for choosing stocks by risk rated return.    The Sharpe Ratio: Sharpe Ratio = R p − R f σ p \text{Sharpe Ratio} = \frac{R_p - R_f}{\sigma_p} where: R p R_p ​ = average return of the portfolio (or investment) R f R_f ​ = risk-free rate of return (e.g., yield on Treasury bills) σ p \sigma_p ​ = standard deviation of the portfolio’s returns (a measure of volatility)    The Career Efficiency Score (CES): A Risk-Adjusted Metric for Career Choice Inspired by the Sharpe ratio in finance, the Career Efficiency Score (CES) measures how much career reward you gain per un...