Dev Guides
Python SDK, LangChain and automation
Claude API PDF Document Q&A in Practice: The Complete Guide from Native Parsing to Page-Level Citations
Got a contract, annual report, or research paper running dozens of pages — how do you build Q&A on it with the Claude API? This post covers the complete engineering workflow from PDF upload, native visual parsing, page-level citations, prompt caching for reuse, to splitting documents over 100 pages, with ready-to-run code in Python, Node.js, and cURL.
Claude Files API: from upload and reuse to quota management
How Claude Files API reuses PDFs, images, CSVs, and code across requests, covering 500 MB / 100 GB quotas, Batch, MCP, Code Execution, and cleanup.
Claude Memory Tool in Practice: The Complete Guide to Giving Your Agent Cross-Session Memory
Claude's memory tool is a client-side storage-driven persistent memory capability. With just 6 commands, it enables cross-session information retention — and paired with context editing, benchmarks show 84% token savings on long-running tasks. This post covers the underlying mechanism, a minimal working Python implementation, how it differs from RAG, security best practices, and how to access it via API.
The Complete Guide to Agent Skills (Claude Code Edition): Build Your AI Agent Skill Library in 6 Steps
A complete hands-on walkthrough from installing your IDE to creating your first Agent Skill. Covers the full setup of Antigravity, Claude Code, and CC-Switch — with apito.ai as the API gateway to get everything running end to end.
Claude API Streaming (SSE) in Practice: From Typewriter Effects to Complete Tool Use Workflows
Get Claude streaming responses working in Python, Node.js, and cURL — covering SSE event parsing, streaming Tool Use calls, reconnection on disconnect, frontend typewriter effects, and production-grade error handling, with complete runnable code and a pitfall checklist.
Claude Citations API in Practice: Auto-Annotated Source References That Boost RAG Accuracy by 15%
Claude Citations enables the model to precisely cite the exact document passages used in its responses, helping reduce hallucinations and improve auditability. This article provides complete code examples for three document formats: PDF, plain text, and custom documents. It also compares Claude Citations with manually prompted citations, and explains how cited_text can help reduce costs because it is not billed.
Guaranteed JSON Every Time: Using Claude's Structured Outputs with JSON Schema
Stop wrestling with unreliable prompt constraints and fragile regex parsing. This guide walks you through using Claude API's Structured Outputs to guarantee schema-compliant JSON responses from the model — every single time.
Claude 1M Token Context in Practice: When to Use It and How Not to Waste It
Claude Opus 4.7, Opus 4.6, and Sonnet 4.6 now all support 1M context in GA — no beta flag needed. But a massive context window doesn't mean "more is always better." This post walks through three real-world scenarios — full-repo code review, contract comparison, and incident debugging — to show you how to get actual value out of that 1M token window.
Claude API Tool Use in Practice: Let AI Call Your Functions and External Services
Tool Use is the core capability that turns Claude from a chatbot into an agent that gets things done. This post includes three complete Python examples — single tool calls, parallel multi-tool calls, and business-scenario error handling — plus 4 common pitfalls to avoid.
10 Best AI Clients for Claude API: A Developer's Comparison (2026)
We tested Cherry Studio, Chatbox, NextChat, Cursor, and 6 other popular Claude clients — comparing features, setup complexity, and ideal use cases to help you find the right tool.
Build Your Own MCP Server: Give Claude Direct Access to Local CSV Data
MCP (Model Context Protocol) is Anthropic's open protocol that lets Claude access local files, databases, and custom tools. In this guide, you'll build an MCP Server that allows Claude to query CSV data directly — in under 100 lines of Python, capable of answering complex data analysis questions in under 5 seconds.
Claude MCP in Practice: Give Your AI Agent Real Control Over Databases, Files, and APIs (Full Code Included)
Build three MCP Servers from scratch — filesystem, SQLite, and HTTP API — connect them to Claude, and create an agent that can actually do things. Complete, runnable Python code included.