AI Letters #10 - The Hidden Tax Before Your First LLM Call
· 3 min read
LangChain ships with 267 transitive dependencies. SynapseKit ships with 2. Before your first LLM call, the framework has already spent your RAM, stalled your import, and bloated your CI pipeline. We ran the numbers - and the surprise isn't who wins on import time.
This letter was first published on AI Letters →
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LLM Framework History & Stars Growth →
From the first LangChain commit (Oct 2022) to framework fragmentation in 2025. Key milestones, GitHub stars, and the architectural decisions that shaped today's ecosystem.
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Cold Start Benchmark - All 5 Metrics →
Click through dependency count, import time, idle RAM, install time, and disk size. SynapseKit vs LangChain vs LlamaIndex with per-metric insights.
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Real Deployment Impact by Scenario →
Select CI/CD, AWS Lambda, or Kaggle to see how cold start costs compound in practice. Includes the full LangChain dependency breakdown by category.