Current benchmark: 1,360 decisions in 311,752 tokens for CLAUDE.md vs 15,476 tokens for Continuity. 95% token savings and 20.1× efficiency. CLAUDE.md hits the 200K context limit around 864 decisions while Continuity keeps working.
✓ Mathematical proof included • ✓ CLAUDE.md breaks around 864 decisions • ✓ O(1) vs O(n) complexity advantage
Based on the current benchmark snapshot: 1,360 decisions and 600 sessions/month
Typical developer usage: 50-600 requests per month
| Sessions/Month | Monthly Savings | Annual Savings | ROI vs $9 Plan |
|---|---|---|---|
| 50 | $44.44 | $533.30 | +394% |
| 100 | $88.88 | $1066.59 | +888% |
| 200 | $177.77 | $2133.19 | +1875% |
| 600 | $533.30 | $6399.56 | +5826% |
Savings start immediately - at 600 sessions/month, the benchmark saves $533.30/month before the $9 plan cost is subtracted.
Current benchmark analysis of CLAUDE.md scaling limits vs Continuity's O(1) search-based retrieval
Actual production CLAUDE.md file with 1,360 logged decisions. Base instructions: 5,201 tokens. Average per decision: 225.4 tokens.
System breaks at about 864 decisions when CLAUDE.md exceeds the 200K token context limit. At 1,360 decisions it needs 311,752 tokens.
CLAUDE.md grows linearly: 311,752 tokens at 1,360 decisions. Every session loads all decisions regardless of relevance.
Cost per session: $0.935. Unusable beyond about 864 decisions.
Continuity loads only relevant decisions via semantic search. Total: 15,476 tokens at the current benchmark.
Cost per session: $0.046. Scales with retrieval budget.
Complexity analysis: O(1) vs O(n). Continuity maintains constant retrieval costs while CLAUDE.md grows linearly past the context window.
20.1× efficiency multiplier. Search-based retrieval remains the durable option as projects grow.
The more decisions you log, the worse CLAUDE.md performs. Continuity maintains constant efficiency.
Production CLAUDE.md with 1,360 decisions vs Continuity's search-based retrieval
Complete mathematical proof, current benchmark analysis, and scaling comparison available on GitHub.