Author here. I've been practicing what Karpathy now calls "Agentic Engineering" since January 2026 – a month before he coined the term. Across 35+ open source Go projects (~1M+ LOC total, including a 425K LOC pure Go GPU ecosystem), I found that orchestrating agents isn't enough. The critical missing piece is what I call Bidirectional Learning: structured knowledge files that the AI reads on session start and updates on exit. Each session compounds on the last instead of starting from zero. Without this, you're conducting an orchestra that forgets the piece they played yesterday.

Happy to answer questions about the workflow or any of the projects.