AI-Driven Architecture - Development Life Cycle Governance скачать в хорошем качестве

AI-Driven Architecture - Development Life Cycle Governance

OVERVIEW As development teams scale, maintaining architectural consistency becomes the biggest bottleneck. Documents are ignored, and linters only catch syntax errors, not design patterns. In this session, we will demonstrate how to transform AI from a passive coding assistant into an active Architectural Enforcer. By embedding your "unwritten rules" directly into the repository configuration, you create a developer experience where the AI enforces your patterns in real-time. We will explore how this shifts the workflow: new developers are guided by the AI from day one, preventing architectural leakage before a pull request is ever opened. AGENDA The Problem: Architectural Drift Why strict rules (Controller-View, Pascal/camelCase) degrade over time and how AI can fix it. The Intelligence Engine Breakdown of the core components: Global Rules, Contextual Guardrails, Agent Tools, and Directory Structure. Configuration: Global Governance Setting up global "system prompts" for the repository to enforce tech stack and naming conventions. Configuration: Contextual Guardrails Creating "firewalls" for specific folders (e.g., preventing logic in views, preventing API calls in Controllers). Configuration: The Tooling Building custom Slash Commands (/new-module) to automate "Vertical Slice" scaffolding. Configuration: The Auditor Agent Implementing a specialized "Gatekeeper" persona that scans imports to ensure strict layer separation. Agent Mapping A conceptual framework comparing repository configuration to autonomous agent architecture. Why Attend? Stop writing boilerplate: Learn to automate complex folder structures with one command. Reduce PR Reviews: Shift governance "left" by having the AI catch architectural errors instantly. Interactive Demo: See the .github configuration in action on a real codebase. Takeaway Code: Leave with the copy-paste markdown templates to implement this in your own repo tomorrow. Target Audience Tech Leads & Architects who need to enforce standards across scaling teams. Developers who are tired of correcting the same patterns in code reviews. DevOps Engineers interested in "Governance as Code." Leadership teams that are trying to raise standards and productivity in their organizations.