what are the impacts if we change the firebase authentication to use a different one. use socraticode to explore the impacts
| Factor | With SocratiCode | Without SocratiCode |
|---|---|---|
| Accuracy / Completeness | 5 | 4 |
| Depth of Analysis | 5 | 3 |
| Actionability | 5 | 4 |
| Structure / Clarity | 5 | 4 |
| Risk Assessment | 5 | 4 |
| Total | 25 / 25 | 19 / 25 |
Token usage extracted from the actual Claude Code session logs. Both sessions used claude-sonnet-4-6 throughout — no model difference.
Pricing used: $3.00 / MTok input · $15.00 / MTok output · $0.30 / MTok cache read · $3.75 / MTok cache write
| Metric | With SocratiCode | Without SocratiCode |
|---|---|---|
| Input tokens | 52 | 33 |
| Output tokens | 14,304 | 9,299 |
| Cache read tokens | 476,142 | 588,389 |
| Cache write tokens | 209,591 | 82,469 |
| Total tokens processed | 700,089 | 680,190 |
| Assistant turns | 22 | 25 |
| Estimated cost | ~$1.14 | ~$0.63 |
Total tokens processed are nearly identical (~700K each), but SocratiCode created 2.5× more cache (209K vs 82K tokens written). Cache creation is the most expensive operation ($3.75/MTok vs $0.30/MTok for reads), which accounts for most of the gap.
The reason: SocratiCode's semantic search queries build up new context artifacts at each step. The non-SocratiCode approach relied on 14 Read + 7 Bash calls that hit the existing prompt cache more efficiently — cheaper per token, but returned less targeted information.
SocratiCode also produced 54% more output tokens (14,304 vs 9,299) — the richer analysis is directly reflected in the output cost.
SocratiCode cost ~ 83% more for this task (~ $0.51 premium). Whether that is cost-effective depends on context:
- For a one-off exploratory analysis feeding into sprint planning: yes — the deeper insight (surfaced hidden costs, test infra, mobile coordination risk) is worth far more than $0.51 of scope risk avoided.
- For high-frequency, lightweight queries: no — the cache-creation overhead adds up without proportional gain.