Field notes on Context-Driven Development, the knowledge-graph engine, and what it actually takes to make AI write production code.
Most "AI for code" tools improve context by sending more of your code to a third party. Draft's graph engine does the opposite: a local, deterministic, version-controlled knowledge graph that ships with the plugin. No MCP server, no SaaS, no embeddings, no API key, no leaked code.
Read postAmazon's Kiro and Draft both solve the same problem: AI coding without structure is chaos. The similarities end there. Bug hunting, ACID enforcement, three-stage review, architecture discovery, IDE portability, and a $0 price tag — the honest comparison.
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