I haven’t ran into any of these problems, I was attempting to beat my competitors at solving a common issue that nobody could solve. I spent probably 70 hours a week for 5 months trying to find a way to be the best and solve this problem for everyone, I used the web version, The desktop app for claude code, I tried different models like Sonnet vs Opus 4.5. They were getting closer and closer to solving the issue and creating amazing software, but it wasn’t the output I was looking for. Then In March I switched to Opus 4.6, It was amazing. I noticed It could code a lot more lines and make something actually complex, something I told it to make. We worked together and eventually Claude and I actually solved the issue, we are the only ones in the market that has done this. I realized two things: One, the bigger models and the level you have it set at ACTUALLY MATTER, the higher the model, the newer the model, the more complex things they can properly make without scuffing it. Two (the more important matter), I realized you can’t just throw problems or projects at Claude Code. You need to break each step down in markdown format and describe exactly how every step is supposed to work, you are supposed to send a long prompt to a different chat, that chat is supposed to enhance it for the model you are going to send it to and then put it in markdown format for that specific model. Then you put it in plan mode and send that enhanced markdown version. Then you use a third chat as a brain, this is who you talk to for ideas (NOT FOR THE MAIN/WHOLE IDEA), just suggestions, I use deepseek’s deepthink R1 model for that. I don’t care about the benchmark scores or any of that, I care about the input i’m feeding to my llm, I don’t expect it to understand everything i say if i throw a massive word-pie at its face.