jcorpac Meta-Agentic Chunking
Complex tasks often fail because the model tries to handle too much complexity at once.
The Chunking Workflow
- Decomposition: Breaking the user objective into small, independent sub-tasks.
- Context Isolation: For each sub-task, only load the files and skills relevant to that specific step.
- Handoff: Passing only the results of the sub-task to the next step, rather than the entire execution history.
Benefits
- Reduced Hallucinations: Smaller context means fewer distractions.
- Higher Fidelity: The model can follow specific instructions for a single phase (e.g., "Refactoring") without being distracted by requirements from another phase (e.g., "Deployment").
Best Practices
- Clear Boundaries: Use
task_boundarytools to signify the switch between chunks. - State Persistence: Keep a "Source of Truth" document (e.g., a
plan.md) that tracks the results of all chunks.