The best AI agent frameworks in 2026: LangGraph, CrewAI, OpenAI Agents SDK, AutoGen, Google ADK, Pydantic AI, LlamaIndex Agents. Tradeoffs, learning curves, production fit.
Frank Chen · 18 hours ago · 8 minBest LLM evaluation tools in 2026: Respan, Braintrust, Langfuse, LangSmith, Promptfoo, DeepEval, Galileo, Patronus. Pricing, features, and when each is the right pick.
Frank Chen · 18 hours ago · 6 minBest LLM gateways in 2026: Respan, OpenRouter, LiteLLM, Portkey, Cloudflare AI Gateway, Helicone, Bifrost, Vercel AI Gateway. Pricing, features, and when each is the right pick.
Frank Chen · 18 hours ago · 7 minThe best LLM observability platforms in 2026: Respan, Langfuse, LangSmith, Helicone, Braintrust, Datadog, Arize Phoenix, Weights & Biases, Galileo. Pricing, features, pros and cons of each.
Frank Chen · 18 hours ago · 10 minThe best prompt engineering tools in 2026: Respan, PromptLayer, Vellum, LangSmith, Braintrust, Promptfoo, Latitude, Helicone, Pezzo, Continue. Pricing and pros and cons of each.
Frank Chen · 18 hours ago · 6 minThe best prompt management platforms in 2026: Respan, PromptLayer, Vellum, LangSmith, Braintrust, Helicone, Promptfoo, Latitude. Pricing, features, and when each is the right pick.
Frank Chen · 18 hours ago · 7 minClaude Code vs Cursor compared: terminal agent vs IDE, Anthropic models vs flexible model routing, pricing tiers, agent capabilities, when to choose each. Verified May 2026 pricing.
Frank Chen · 18 hours ago · 10 minClaude Opus 4.7 vs Sonnet 4.6 compared: pricing, capabilities, when to pay for Opus and when Sonnet is enough. Includes the Feb 2026 evaluation that shifted the calculus. Verified May 2026 pricing.
Frank Chen · 18 hours ago · 8 minClaude vs ChatGPT compared head-to-head: model lineup, context windows, coding ability, pricing, multimodal, agents, voice, developer experience, and when to choose each. From a team running 80M+ LLM requests per day across both.
Frank Chen · 18 hours ago · 16 minCodex vs Claude Code compared: OpenAI's GPT-5.2-Codex agent vs Anthropic's terminal coding agent, capabilities, pricing, when to choose each. Verified May 2026.
Frank Chen · 18 hours ago · 7 minDeepSeek vs ChatGPT compared head-to-head: model lineup (DeepSeek V3, R1 reasoning vs GPT-5.5 / 5.4 / 5.4 nano), pricing (where DeepSeek's edge is most extreme), context, capabilities, agents, geopolitics. Verified May 2026 pricing.
Frank Chen · 18 hours ago · 10 minGemini vs ChatGPT compared head-to-head: model lineup (Gemini 3.1 Pro / 2.5 Flash vs GPT-5.5 / 5.4 / 5.4 nano), context windows, pricing, multimodal, agents, voice, developer experience. Verified May 2026 pricing.
Frank Chen · 18 hours ago · 12 minGrok vs ChatGPT compared head-to-head: model lineup (Grok 4.3 / 4.20 / 4.1 Fast vs GPT-5.5 / 5.4 / 5.4 nano), context windows, pricing, multimodal, agents, voice, developer experience. Verified May 2026 pricing.
Frank Chen · 18 hours ago · 12 minHow to evaluate an LLM for production: define criteria, build a test set, score with rule-based + LLM-as-judge + human review, run online evals on production traffic.
Frank Chen · 18 hours ago · 6 minHow to test AI models in production: rule-based checks, LLM-as-judge, sampled human review, eval pipelines, A/B testing, and the workflow that catches regressions before customers do.
Frank Chen · 18 hours ago · 7 minLangChain vs LangGraph compared: same team's two frameworks, when to use each, what they're good and bad at, real production tradeoffs in May 2026.
Frank Chen · 18 hours ago · 7 minLlamaIndex vs LangChain compared: RAG-first framework vs broad LLM toolkit, when to use each, ecosystem, integration patterns, real production tradeoffs in May 2026.
Frank Chen · 18 hours ago · 7 minPerplexity vs ChatGPT compared head-to-head: Sonar models vs GPT-5.x lineup, citations and web grounding, pricing, agentic search, when to use each. Verified May 2026 pricing.
Frank Chen · 18 hours ago · 10 minRAG pipeline explained: what it is, the components (chunking, embedding, retrieval, generation), common architectures, agentic RAG, and how to ship one in production.
Frank Chen · 18 hours ago · 6 minAgentic RAG explained: how it differs from classic RAG, when to use it, the production architecture, and the tools that handle it well.
Frank Chen · 18 hours ago · 6 minLLM gateway explained: what it is, what it does (routing, fallback, caching, rate limits), why teams adopt one, the difference from an AI gateway, and how to choose.
Frank Chen · 18 hours ago · 5 minLLM inference explained: what it is, how it works, why it costs what it does, latency components (TTFT, generation), batching, caching, and the production patterns that matter.
Frank Chen · 18 hours ago · 5 minLLM tracing explained: what it is, what a trace contains, the OpenTelemetry GenAI conventions, sampling, and how to start tracing your stack today.
Frank Chen · 18 hours ago · 4 minPrompt evaluation explained: what it is, why it matters, the three types (rule-based, LLM-as-judge, human review), and how to build a real eval pipeline.
Frank Chen · 18 hours ago · 7 minPrompt versioning explained: what it is, why it matters, how it works, the tools that do it, and how to build a prompt change workflow that doesn't break production.
Frank Chen · 18 hours ago · 7 min