strategic-compact

To preserve context in long AI assistant sessions, you can use strategic manual compaction at logical task boundaries. This prevents arbitrary auto-compaction from discarding active variables, partial implementation state, and recent reasoning needed for ongoing work.

You should manually compact context during a multi-phase development workflow at logical task boundaries, such as after research, post-milestone, or before task switches. The compaction decision guide helps distinguish these safe points from disruptive mid-implementation moments.

Auto-compaction disrupts extended coding workflows because it triggers at arbitrary context limits rather than logical boundaries. This causes the loss of critical active context like variable names, recent reasoning, and partial implementation state still required to complete the current task.

Yes, you can receive reminders to compact context by using a configurable hook that tracks tool call counts. It sends timely compaction reminders at adjustable thresholds via environment variables to trigger manual context preservation before arbitrary auto-compaction occurs.

The best way to manage context pressure during intra-session task switches is to run a manual compact command after finalizing the previous phase. This starts the next task with a fresh context window while preserving the finalized plans or milestones.

A limitation of strategic compaction is that it requires manual intervention and decision-making to identify safe boundaries. Users must actively evaluate whether a transition point is truly safe, as compacting mid-implementation can still result in the loss of critical active reasoning.