Large Language Models face fundamental limitations in software development due to their stateless nature and lack of persistent project memory. The attention mechanism's quadratic complexity limits context windows, while models process each interaction independently. A three-pronged approach addresses these challenges:
Table of contents
Revisiting Attention: Why Context is King (and Why it’s Limited)Leveraging the Right Tools: Cursor as our LLM IDEMastering Prompt Engineering: More Than Just Asking QuestionsKey Technique: Context Augmentation — Bringing the Outside In (Where Other Methods Are Still Complex)The “Plan File” Method: Externalizing Persistent Context and Progress TrackingPractical Applications in Our WorkflowResults and Lessons LearnedConclusionSort: