optimize-agent-context

To optimize agent context files, prune nonessential rules and enforce failure-correcting negative constraints. This eliminates bloat by keeping only the corrections needed to fix observable agent mistakes in files like agent.md or cursorrules.

The Band-Aid Philosophy for agent context management is a minimalist approach that removes nonessential rules to avoid bloat. It enforces a ruthlessly minimal bulleted rule set containing only failure-correcting constraints needed to guide agent behavior.

The best way to audit agent.md files for bloat is to evaluate existing rules against observable agent mistakes and remove nonessential instructions. This ensures the context file maintains a minimal set of negative constraints to prevent common errors.

To create minimal cursorrules for onboarding, ask a sequence of questions to identify repeated AI mistakes. Synthesize the findings into a ruthlessly minimal bulleted agent context file featuring clear negative constraints to prevent common errors.

Your AI agent may keep making mistakes because bloated context files dilute important instructions. Applying negative constraints and pruning nonessential rules creates a minimal context that enforces failure-correcting behavior more reliably.

You should not use extensive positive rules in agent context when they cause bloat and dilute critical instructions. Instead, apply a minimalist approach using negative constraints that specifically target and correct observable agent mistakes.