The cost of integrating a REST API into an application is not just about the initial setup, but also about the ongoing cognitive load and complexity required to manage continuous uncertainty. This hidden cost can be significant, with pagination, unpredictable schema changes, and rate limiting adding to the challenge. However, with the use of AI-powered tools such as dlt + Cursor, it is possible to accelerate development and reduce tech debt by automating pipeline setup and management. By using a large language model (LLM) to generate code and let dlt self-maintain pipelines, developers can build faster and more efficient integrations with less complexity and no technical debt. This approach allows developers to focus on building insights rather than battling boilerplate, and reclaim their time to work on more important tasks.