savethetokens

Reduce Claude Code token usage by applying context governance, which uses budget-aware execution planning and relevance-based pruning to keep high-signal content while discarding verbosity. This minimizes token burn while preserving correctness across coding and debugging workflows.

Context pruning is the process of removing low-relevance information from prompts to keep high-signal content. Use it during large coding, planning, and review tasks where token burn is high, applying tiered context management to preserve correctness without bloating prompts.

Set a token budget by running the govern.py script with your specified limit to generate an optimized execution plan. This budget-aware approach proactively manages context usage and applies checkpoints to minimize token consumption during your session.

Yes, savethetokens supports checkpointing and tiered documentation to preserve work without bloating prompts. These checkpoints ensure that critical session state and context are retained safely even when aggressive relevance-based pruning is applied.

The best way to manage session hygiene is through proactive context governance, which combines budget-aware planning, relevance-based pruning, and tiered documentation. This approach provides measurable token savings and prevents verbosity from inflating your context window.

Context pruning is designed to satisfy guardrails and preserve correctness, but aggressive pruning in complex debugging workflows may risk removing low-signal content that is unexpectedly relevant. Using checkpoints and tiered context helps mitigate this risk safely.