PydanticAI Tutorial — Type-Safe AI Agents the FastAPI Way
Build type-safe AI agents with PydanticAI 1.88.0: TestModel without an API key, output_type and @agent.tool wiring, multi-provider switching, all run hands-on.
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Build type-safe AI agents with PydanticAI 1.88.0: TestModel without an API key, output_type and @agent.tool wiring, multi-provider switching, all run hands-on.
Batch 100,000 Claude requests in one call, cutting LLM costs 50%. Covers async polling, error recovery, and Prompt Caching. Python and Node.js examples included.
Production guide to Claude API prompt caching. Covers system prompt, RAG, tool, and multi-turn patterns — plus 2026 TTL gotcha and how to measure cost savings.
A hands-on migration from OpenClaw to Codex+Nanobot. launchd scheduling, Telegram bridge, MCP host tradeoffs, and tips for a lightweight AI agent toolchain.
Real comparison of Cursor 3.1, Claude Code, and Windsurf 2.0.67. Async subagents, architectural reasoning, and Cascade — which AI coding tool fits which task.
A practical comparison of MCP, A2A, and Open Responses: design goals, ecosystems, and how to combine them in real-world AI agent projects in 2026.
GPT-5.5 dropped yesterday with SWE-bench 88.7% and a 2x price hike. OpenAI calls it an agent runtime, not a chat model. Here is what that actually means for developers choosing between GPT and Claude.
Build Claude streaming and tool-calling agents in Next.js App Router using Vercel AI SDK v6. Master streamText, generateObject, and tool loop patterns.
Claude Code Routines runs AI prompts autonomously on Anthropic's infra via schedule, API, or GitHub events. Setup guide and real automation use cases included.
April 2026: 52% of production MCP endpoints are failing. Step-by-step checklist: Kubernetes config, Streamable HTTP migration, health checks, and OAuth 2.1.
Pydantic AI vs Instructor vs Smolagents, benchmarked with real code: structured output, agent design, production readiness, and cost for your 2026 pick.
LangGraph v1.0, CrewAI v1.10, and Dapr Agents v1.0 compared on architecture, dev speed, durability, and cost. Find which multi-agent framework fits your team's production needs in 2026.