AI-NATIVE WORKFLOW

AI & Engineering

AI для нас не декоративная функция, а часть исследовательского, архитектурного и инженерного процесса.

AI is inside the workflow.
Accountability stays outside the model.

Claude Code использовался в нескольких проектах для анализа репозитория, архитектуры, реализации, рефакторинга, документации и тестирования. Продуктовые решения, правила предметной области и финальный релиз остаются под человеческим контролем.

01

Research & grounding

Business context, sources, constraints and what must not be invented.

02

Product architecture

Roles, data, permissions, workflows and decision boundaries.

03

Repository engineering

Implementation, refactoring, documentation and repository-level reasoning with Claude Code on selected projects.

04

Verification

Build checks, business-rule validation, test paths and human review.

05

Controlled delivery

Human-owned product decisions, deployment and operational responsibility.

CLAUDE CODE

Repository-level collaboration

Used across selected systems for codebase inspection, implementation plans, refactoring, docs, tests and iterative delivery.

GITHUB

Traceable engineering work

Private repositories, structured documentation and code review are used where the project is connected to GitHub.

BOUNDARIES

No autonomous business decisions

Financial approvals, domain policy, client decisions and deployments are not delegated blindly to an AI model.

NEXT

Deeper model integration

VentureOS and knowledge products are being designed for source-grounded reasoning and agent workflows beyond code generation.

MISSA Systems uses Anthropic products as engineering tools. This website does not claim an official partnership, endorsement or program acceptance by Anthropic.