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AI-Native Discipline

AI-Native + Engineering Discipline

Scoping, implementation, evaluation, handover and adoption. Verify each outcome.

AI writes code fast, but drifts and loses context. This thesis constrains AI with engineering discipline: requirements, architecture, design, build, acceptance, and test on one pipeline, every step verifiable and deliverable. Evaluate model outputs separately and retain handover and adoption evidence. Validate efficiency gains in the project.

Entities grown from this thesis

Skills

Live

Reusable AI agent skills for engineering tasks within explicit blueprints and authorization.

Infra

CodeCoder

In Dev

A Rust autonomous agent. Read, edit, verify. A closed loop in a sandbox.

Infra

MouQin

In Dev

An AI-native no-code platform. Built on MCP. Focused on legacy-system migration and rebuild.

Project
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