- Blog
LLM Latency: What Engineers Actually Found
Production LLM latency rarely matches vendor benchmarks. Engineers on r/LocalLLaMA and HN share what first-tokentimes, p99, and streaming really look like.
- Blog
LangServe: What Engineers Actually Found
An honest look at LangServe after real production use. Where it earns its keep, where it falls short, and which teams should bother.
- Blog
AI Agent Orchestration: What Teams Actually Found
Practitioners compare LangChain, CrewAI, and AutoGen in real production. What works, what breaks, and what teams are actually shipping.
- Blog
Next.js for AI Apps: What Engineers Actually Found
A practitioner reaction to Next.js for AI apps, covering real latency, cost surprises, edge case failures, and what teams pair it with in production.
- Blog
Databricks AI: What Engineering Teams Actually Found
An honest read on Databricks AI in production, from Mosaic AI costs to Genie accuracy gaps, vector search latency, and what teams actually pair it with.
- Blog
AWS Bedrock: What Engineers Actually Found
A practitioner's honest take on AWS Bedrock after months in production. Latency, costs, IAM pain, and where it actually beats direct API calls.
- Blog
Gemini 2.0: What Engineers Actually Found in Production
Engineers on HN and Reddit share what Gemini 2.0 actually delivers in production, where it breaks, and what they pair it with in their stack.
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