You have a map of the frozen lake. Every crack in the ice, every slippery patch, every hole is marked. You can sit at your desk and plan the perfect route before stepping foot on the ice. That is value iteration. Now imagine you have no map. You lace up your boots and start walking. You slip, you fall into holes, you backtrack. But each time you learn a little more about which moves pay off and wh
You asked Claude to build a feature. It worked. You shipped it. Six weeks later, you're adding something related, and nothing makes sense anymore. The code is technically correct but completely opaque. You can't remember why anything was structured this way. Claude can't figure it out either — it starts guessing, and the guesses start breaking things. This is the scenario I keep seeing. And it's n
When you have 5 unrelated questions, should you pack them into one message to the LLM, or send 5 requests simultaneously? Which is faster? Splitting into multiple independent parallel requests is almost always faster. This isn't a gut feeling — it's determined by the underlying inference mechanism of LLMs. Let's walk through the reasoning from first principles. To understand this problem, you firs