Shared Workflows

These workflows are tool-agnostic. Whether you use Cursor, Claude Code, or Codex, the techniques in this section apply equally. They cover the methodologies, context strategies, and operational patterns that make AI-assisted development predictable and production-ready.

Best Practices Essential habits and mental models for effective AI-assisted development.

Context Management Control what the AI sees to get reliable, focused output every time.

Development Workflows Day-to-day coding workflows for building features, fixing bugs, and refactoring.

Core Methodology Structured methodologies like PRD-to-Plan, TDD, and error-driven development.

MCP Ecosystem Connect AI assistants to external tools and services via the Model Context Protocol.

Skills Ecosystem Reusable skill sets and prompt libraries that extend your AI assistant's capabilities.

Enterprise Governance, security, and adoption strategies for teams and organizations.

Enterprise Development Large-scale development patterns for monorepos, microservices, and distributed teams.

Deployment & Operations CI/CD pipelines, infrastructure as code, and incident response with AI.

Testing & Quality Testing strategies, code review workflows, and quality assurance with AI.

Migration Playbooks Step-by-step guides for migrating frameworks, languages, and architectures.