Deep dives, tutorials, and engineering thoughts from the team building Misiki.
A deep dive into the deterministic code generation engine behind Misiki — how schema definitions map to SvelteKit routes, Drizzle schemas, and Zod validators.
Read full story →One generated file that eliminates the "let me explain my architecture" paragraph at the start of every AI session. How it works and why it saves hundreds of tokens per feature.
Step-by-step walkthrough: schema design, tenant isolation, vendor-specific admin panels, and product catalog with AI semantic search.
The tradeoffs between Prisma and Drizzle when code is generated rather than hand-written. Type safety, migration ergonomics, and bundle size.
We analyzed 50 developer AI sessions building SaaS boilerplates from scratch. The average token spend before a single product feature is written: 1.2 million.
Enable AI embeddings on your products collection, make a natural language query, and get ranked results — all with zero extra config in Misiki.
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