76 articles matching your search.
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.
I built the same dashboard on v0, Bolt.new, Lovable, and Magic Patterns. Here's which AI design-to-code tool actually delivers in 2026 production.
After porting a customer-support agent across all three frameworks, here is the honest TypeScript AI framework comparison for production in 2026 with benchmarks, code volume counts, and migration notes from real client work.
I ran E2B, Modal Sandboxes, and Daytona in production across 380K agent invocations at Warung Digital. Here is what I learned about cold starts, isolation, GPU support, and which one to pick for your AI agent code execution stack in 2026.
OpenAI bought Promptfoo for $86M in March 2026. Here is how the three leading LLM eval tools — Braintrust, Promptfoo, DeepEval — actually compare for production teams in May 2026.
A production comparison of Intercom Fin, Zendesk AI Agent, and self-hosted Chatwoot plus Dify in 2026. Real pricing, resolution rates from a working deployment, and a clear decision framework for engineering and support leaders.
Hands-on comparison of LiteLLM, Portkey, and OpenRouter from running six AI products in production. Pricing, observability, guardrails, and the cost-bracket framework I use to pick between them.
Hands-on comparison of the three leading document parsers for RAG in 2026, with real pricing, benchmark results from a 12-PDF test, and a decision matrix from shipping all three in production.
Helicone went into maintenance mode after Mintlify acquired it in March 2026. Langfuse joined ClickHouse. Here is how I picked an LLM observability platform across our six AI products in production — and which one I would skip.
Hands-on comparison of Claude Skills and MCP servers from six AI products in production. Token economics, OAuth gaps, and a decision framework.
I tested Browser-Use, Stagehand, and Playwright MCP across the daily import pipelines for our 7 aggregator blogs over 30 days. Here is the cost, latency, and breakage data — plus which stack survived production.