Do AI coding tools still lose project context for you after a while?

I've been building projects with AI (Cursor, Claude, ChatGPT, etc.) and I've noticed that the biggest problem isn't generating code—it's maintaining project context over time. For every project, I end up creating documents like: * Project overview * Tech stack decisions * Architecture notes * Development plan * Completed tasks * Remaining tasks * Decision logs Otherwise after a few days or weeks: * The AI forgets why certain decisions were made * It suggests patterns that don't match the architecture * It generates duplicate or conflicting implementations * I spend a lot of time re-explaining the project What I really want is: 1. Persistent project memory 2. Architecture consistency 3. Automatic project planning and progress tracking Basically, when I come back to a project after 2 weeks, I want the AI to know: * What has been built * What is left * Why certain decisions were made * What the next task should be Curious: * Do you have the same problem? * How are you solving it today? * Are documents enough, or do you use some other workflow? * Would you use a tool focused specifically on project memory and AI context management? Trying to figure out whether this is just my workflow or a broader pain point.