Context in Context: Why AI Tools Degrade Over Longer Work Sessions

Short summary

AI assistants lose context and degrade in quality during long sessions because their working memory (context window) fills up like a notepad. Typical 200k-token windows sound large but shrink fast with conversation history, files, and instructions. Keep usage under 60-80% of capacity; split large tasks across multiple agent sessions or push context to external files to maintain code quality and reduce token costs.

• •Context windows fill up fast with conversation history, files, and instructions, causing AI quality to degrade in long sessions
• •Typical 200k-token capacity shrinks quickly; usage above 80% causes memory loss, generic responses, and inconsistency
• •Maintain 60-80% max usage and split tasks across multiple agent sessions to sustain code quality and minimize token costs

Generated with AI, which can make mistakes.