Testing
Testing DeepSeek R1: Reasoning Chain Verification and Chain-of-Thought Evals
DeepSeek R1 is an open-weight reasoning model that exposes its chain-of-thought reasoning as a block before the final answer.
AI
Latest
Testing
Testing Anthropic Computer Use API: UI Actions, Screenshot Assertions, and Agent Loops
Anthropic's Computer Use API lets Claude control a computer — clicking, typing, scrolling, and taking screenshots — to complete tasks autonomously.
MCP
Load Testing MCP Servers: Concurrent Tool Calls, Streaming, and k6 Benchmarks
MCP servers work fine with one client. The question is whether they hold up when five AI agents are calling them simultaneously, or when a single agent fires off ten parallel tool calls in a complex workflow. Most MCP server developers never test this. They ship, an agent makes concurrent
MCP
Testing MCP Client Integrations: Mocking Servers, Tool Selection, and Context Injection
Most MCP testing guides focus on the server side: does the server expose correct tools, does it handle errors, does it perform under load.
MCP
How to Test MCP Tool Implementations: Schema, Handlers, and Error Propagation
Your MCP tool works in Claude Desktop. You've called it manually a dozen times. It returns results. You're confident.
MCP
Integration Testing MCP Servers End-to-End: Transports, Tool Calls, and Resource Listing
Unit tests for MCP tool handlers are necessary but not sufficient. They test the function — they don't test whether the server correctly handles the MCP protocol, whether tools are advertised correctly, whether resources are listed as expected, or whether the transport layer survives malformed messages. Integration tests do.
MCP
Testing MCP Server Authentication and Authorization: OAuth, Tokens, and Permission Scoping
Most MCP server tutorials skip authentication. The examples use stdio transport with no auth, the server runs locally, and there's nothing to secure.
Testing
MCP Server Testing Patterns: From Unit to End-to-End
A previous guide covered the basics of testing MCP servers — unit testing tools, resources, and prompts with in-memory transports.
Testing
CI/CD for AI Agent Pipelines: From Commit to Production
Your AI agent worked great in development. Then you changed the system prompt by three sentences, deployed it, and customer satisfaction dropped 12%.
Testing
Testing Multi-Agent Orchestration with LangGraph and CrewAI
Single agents are hard enough to test. Multi-agent systems add another dimension: the interactions between agents.
Testing
Regression Testing for LLM-Powered Applications
Traditional software regression: you change a function, run tests, and if they fail you've introduced a regression. Easy to detect.
Testing
Mocking External APIs in Agentic Systems
An AI agent that manages your GitHub issues calls the GitHub API. An agent that schedules meetings calls Google Calendar.