Everything on AI Context Management

Simple markdown documents are more effective than complex semantic models for providing context to LLMs. These guides reduce token usage and improve the accuracy of AI-generated queries and visualizations.

Impact: Lowers inference costs and improves the reliability of AI outputs by providing clear, natural language business logic.

— from AI Agents Transform Data Engineering Workflows · Dev Interrupted· Sep 15, 2026

The primary failure mode for AI agents is not code generation, but the lack of implicit business context. Explicit documentation of domain knowledge is essential to ensure AI outputs align with product requirements.

Impact: Investing in context documentation creates a defensible asset that improves AI reliability and reduces the need for manual corrections, leading to higher quality outputs.

— from Agentic AI: CTO Strategy for SaaS Survival · Becoming CTO Secrets· May 19, 2026