7 articles matching your search.
A production-tested comparison of vLLM, SGLang, TensorRT-LLM, and Ollama for self-hosted LLM serving in 2026 — throughput, cold-start, cost math, and decision matrix from running a 4-product AI backend on a shared H100.
A working engineer's view of the four libraries that actually solve the malformed-JSON problem in production AI: Instructor, BAML, Outlines, and Pydantic AI. Real benchmark numbers from 1.4M monthly LLM calls.
Last quarter, our Anthropic console showed $612 in API costs across our six AI products. After a focused prompt caching refactor, it dropped to $167 - a 73% cut without changing models. Here is exactly what worked, what didn't, and the mistakes that cost real money.
After eight months running Cline, Aider, Continue, and OpenHands across 50+ production projects, here is the honest comparison: real token costs, governance trade-offs, and which agent matches your team's actual workflow.
Anthropic released Claude Opus 4.7 on April 16, 2026. This complete guide covers the new task budget system, xhigh effort level, 3.75MP high-resolution vision, updated benchmarks, and a side-by-side comparison with GPT-5.4.
Phantom is an open source AI agent that runs on its own virtual machine with persistent memory, self-directed tool creation, and MCP integration. I watched it install ClickHouse and build an analytics dashboard from 28.7 million rows — without being asked.
A detailed breakdown of how a 12-person company discovered they were spending $19,020/year on AI tools — and cut 32% without anyone noticing.