Research & grounding
Business context, sources, constraints and what must not be invented.
AI-NATIVE WORKFLOW
AI & Engineering
هوش مصنوعی برای ما یک افزونه نمایشی نیست؛ بخشی از روش تحقیق، طراحی و توسعه است، با مرزهای روشن برای تصمیم‌گیری و اعتبارسنجی.
AI is inside the workflow.
Accountability stays outside the model.
Accountability stays outside the model.
Claude Code در چند پروژه به‌عنوان همکار مهندسی برای تحلیل مخزن، معماری، پیاده‌سازی، بازآرایی، مستندسازی و تست استفاده شده است. تصمیم محصول، قواعد دامنه و انتشار نهایی همچنان انسانی و قابل بازبینی می‌ماند.
Product architecture
Roles, data, permissions, workflows and decision boundaries.
Repository engineering
Implementation, refactoring, documentation and repository-level reasoning with Claude Code on selected projects.
Verification
Build checks, business-rule validation, test paths and human review.
Controlled delivery
Human-owned product decisions, deployment and operational responsibility.
Repository-level collaboration
Used across selected systems for codebase inspection, implementation plans, refactoring, docs, tests and iterative delivery.
Traceable engineering work
Private repositories, structured documentation and code review are used where the project is connected to GitHub.
No autonomous business decisions
Financial approvals, domain policy, client decisions and deployments are not delegated blindly to an AI model.
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.