Agent Workflow

Structured sequence of actions for AI agents to handle complex tasks, especially addressing context window limitations in long-running sessions. Key principle: avoid “one-shot” generation of large applications.

• Core Challenge: AI coding agents (e.g., claude-ai) fail when attempting monolithic code generation due to context-window-limitations.
• Effective Solution: Iterative task decomposition and refinement (adapted from anthropic’s approach), breaking complex features into manageable steps.
• Practical Implementation:
  • Use incremental code generation with explicit context resets
  • Maintain task-specific memory buffers
  • Validate intermediate outputs before proceeding
• Source: Fixing long running Claude code sessions demonstrates this workflow for AI Coding Agent sessions.

2026 04 14 Fixing long running Claude code sessions