Browser Automation with AI Agents: Why APIs Beat Clicking
Browser automation AI agent workflows are evolving from Selenium scripts to API-first approaches that skip the browser for faster, more reliable results.
Browser automation AI agent workflows are evolving from Selenium scripts to API-first approaches that skip the browser for faster, more reliable results.
A guide to Claude Code extensions in 2026, covering MCP servers, custom tools, and hooks that expand what your AI coding agent can do.
Claude Code web scraping requires external tools since the agent can't visit websites on its own. Learn the approaches and tradeoffs for scraping with Claude Code.
How an MCP server for Jira connects AI agents to project management, and what complementary tools make the workflow complete.
Connect an MCP server for Snowflake to your AI agent and query your data warehouse with natural language from the terminal.
Traditional APIs return data for humans to interpret. Context-optimized APIs return structured responses designed for LLM consumption — schemas, examples, and predictable formats that fit inside context windows.
Browser automation seems like the universal solution for AI agents, but structured APIs are faster, cheaper, more reliable, and produce better results.
Not all APIs are created equal when it comes to AI agent consumption. Here's what separates an agent-friendly API from one that wastes context tokens.
Give Claude Code access to arXiv Search through AgentPatch and pull academic papers directly into your coding sessions.
Give Claude Code arXiv Search through AgentPatch to find the academic research powering competitor products and features.