Ai & machine learning
Claude Agent SDK Memory Tool in 2026: Persistent Context That Survives /clear
How the Claude Agent SDK memory tool keeps context across sessions — file-based memory patterns, trade-offs vs prompt caching, and a working Python setup.
Claude Haiku 4.5 in Production: Cost, Latency & Quality vs Sonnet 4.6 (2026)
A practical look at Claude Haiku 4.5 for production — per-million-token cost, latency, and where it holds up against Sonnet 4.6 in 2026.
Claude Opus 4.7 1M Context Window: Cost, Latency & When to Use It (2026)
Opus 4.7 1M context in 2026: real per-million-token cost structure, latency scaling, and the three workloads where it actually earns its keep.
Claude Skills vs MCP Servers in 2026: Which to Use for Each Job
Claude Skills vs MCP servers in 2026 — what each actually does, when to use which, performance and cost trade-offs, and a concrete decision rubric for builders.
Claude API Prompt Caching in 2026: How to Cut LLM Costs by 90%
A hands-on guide to Claude API prompt caching in 2026 — how cache_control works, what to cache, the TTL trade-offs, and the bugs that quietly void your cache.
RAG Chunking Strategies Compared: Fixed-Size vs Semantic vs Agentic in 2026
Compare fixed-size, semantic, and agentic chunking for RAG pipelines. Benchmarks, trade-offs, and when each strategy actually improves retrieval quality.
Structured Output Streaming with Claude 4.6 and Zod: A Practical Guide
How to stream structured JSON output from Claude 4.6 using the Anthropic SDK and Zod validation, with real code for partial parsing and error recovery.
pgvector vs Pinecone for RAG in 2026: Cost and Latency Breakdown
Head-to-head comparison of pgvector and Pinecone for production RAG in 2026 — indexing, latency, cost per million vectors, and when each one wins.
Building a Custom MCP Server for Postgres Schema Introspection
Build a custom MCP server for Postgres schema introspection so Claude Code can read your database structure without shipping raw credentials.
Agentic AI Frameworks Compared: Best Options for 2026
Compare the top agentic AI frameworks — LangGraph, CrewAI, AutoGen, and more. Benchmarks, code examples, and use-case recommendations.
Multi-Agent AI Frameworks Compared: CrewAI vs AutoGen vs LangGraph
Compare top multi-agent AI frameworks including CrewAI, AutoGen, LangGraph, Agno, and OpenAI Swarm to find the best fit for your project.