Archaeologist Mode: Mining 700MB of AI Conversation Logs
Claude Code keeps full conversation transcripts. I mined 700MB of them to reconstruct 20 lost journals and find the founding conversations I thought were gone.
Claude Code keeps full conversation transcripts. I mined 700MB of them to reconstruct 20 lost journals and find the founding conversations I thought were gone.
Building CodeWithAgents.de with AI agents. What worked, what broke, what surprised me.
AI makes content production trivial. That's not the revolution — surviving the flood of mediocrity is.
I started with an empty Git repository and ended with a fully deployed mobile-first presentation on GitHub Pages — without writing a single line of code myself.
Three phases, five critical bugs, and what 97.78% OCR confidence actually looks like when real users upload real photos.
How I used an AI agent as a planning partner — not a code generator — to design a complex database migration before writing a single line.
When 18 agents each maintained their own memory files, the system became unmaintainable. The solution was a philosophical split: separate data collection from knowledge curation.
AI can build features fast. Making them production-ready is still slow, deliberate, and entirely your responsibility.
Two weeks in, my typescript-implementer's memory file was 95KB and 2,133 lines. The system designed to make agents smarter was making them slower.
Session 13. A real ticket, a Slack message, and then I stepped away. What happened next wasn't what I expected.