Advanced Cursor: Prompt Engineering, Fine-Tuning & Custom Tooling Training Course

Introduction to Advanced Cursor Capabilities

• Comprehending Cursor’s extensibility and architectural design
• Examining various AI model types and their integration points
• Setting up the environment for advanced customisation

Principles of Effective Prompt Engineering

• Crafting prompts that ensure precision, consistency, and adaptability
• Structuring context hierarchies and managing variable injection
• Assessing prompt outputs and refining iterations

Building and Managing Prompt Templates

• Creating reusable prompt templates for team usage
• Versioning and maintaining template repositories
• Integrating prompt templates into CI/CD pipelines

Integrating Cursor with Internal Knowledge Bases

• Connecting to documentation APIs and internal data sources
• Embedding domain-specific knowledge into AI prompts
• Automating updates and synchronisation for dynamic data

Fine-Tuning Models for Domain-Specific Code Generation

• Identifying suitable use cases for fine-tuned models
• Collecting and curating datasets for fine-tuning
• Testing, validating, and deploying custom-trained models

Developing Custom Tools and Adapters

• Expanding Cursor’s capabilities with API-based custom tooling
• Creating secure adapters tailored for enterprise workflows
• Implementing custom actions directly within the editor

Security, Governance, and Performance Optimisation

• Ensuring the secure handling of AI-generated code
• Establishing policy guards and compliance filters
• Optimising performance and managing resources effectively

Future-Ready AI Development Strategies

• Evaluating emerging Cursor features and APIs
• Adopting continuous fine-tuning and prompt lifecycle management
• Building internal frameworks for sustainable AI engineering

Summary and Next Steps