When everyone can generate software with AI, what’s left as a differentiator? Not the code. The context behind it. The lessons you learned the hard way. The architecture decisions and why you made them. How your clients’ projects actually work. The patterns you’ve refined over years. That accumulated context is the most valuable thing you bring to any AI session — and right now, most of it evaporates when you close the tab. Worse, what does persist often lives inside a specific vendor’s system. Switch tools and you start over. That should bother you. My advice: start saving your context now, in a format you own. A few principles worth thinking about: Own the storage. Plain files on your machine > proprietary cloud formats. Markdown and SQLite are boring and that’s the point — they’ll outlast any vendor. Stay agent-agnostic. Your context shouldn’t be locked to one AI tool. You’ll switch tools. Your knowledge shouldn’t have to. Make it portable. If you can’t git clone your entire context history onto a new machine in 30 seconds, you don’t really own it. Start messy. Don’t over-categorize. Just start capturing decisions, patterns, and lessons. Structure emerges over time. The compounding effect is real — the more context you accumulate, the more useful every future AI session becomes. But only if that context is yours to keep. I’ve been building an open source tool for this called Context Vault (MIT, local-first MCP server, works with any AI editor). But honestly, fork it, build your own, use a folder of text files — the tool matters less than the habit. Start thinking about who owns your context. GitHub: https://github.com/fellanH/context-vault submitted by /u/Slow-Bake-9603
Originally posted by u/Slow-Bake-9603 on r/ArtificialInteligence
You must log in or # to comment.