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Architecture-first AI development blog.

Deep dives on building Logic64 — architecture decisions, infrastructure trade-offs, and the reasoning behind governance-first AI generation.

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You cannot fully stop an AI from hallucinating. You can stop that hallucination from becoming your system’s architecture.

Vibe coding moves fast until the architecture drifts. Here is how spec-driven development compares — and when each one actually makes sense.

A CLAUDE.md file tells Claude Code how to work in your project — not what the project is. Here is what actually belongs in one.

Why Logic64 separates planning, building, and local delivery instead of treating an AI workspace as one long prompt.

Raw prompting can produce code quickly. Logic64 is designed to keep architecture decisions from drifting while that code gets produced.

Production teams need AI coding assistant guardrails that are explicit, testable, and tied to architecture — not personal preference.

CLAUDE.md and Skills solve different problems. Confusing them is why so many governance files end up bloated and so many Skills end up redundant.

The mcp.json schema is small. Getting the setup right the first time — secrets, scope, verification — is where most people get stuck.

Most SaaS projects are not structured. They accrete, one feature at a time, until nobody can say where a decision was actually made.

Cursor rules and Claude Code Skills get compared as if they are two options for the same job. They are not — here is what each actually does.

Claude Code, Cursor, and GitHub Copilot solve overlapping problems in different shapes. Pricing verified directly from each vendor, August 2026.

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