Testing AI agents: mock the model or use the real API?
Split AI agent tests into 4 layers: pure code, tools, the real model, and review. Use mocks without false confidence, then run a small real-model eval.
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I'm Samuel Fajreldines I am a specialist in the entire JavaScript and TypeScript ecosystem (including Node.js, React, Angular and Vue.js) I am expert in AI and in creating AI integrated solutions I am expert in DevOps and Serverless Architecture (AWS, Google Cloud and Azure) I am expert in PHP and its frameworks (such as Codeigniter and Laravel). |
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Samuel Fajreldines I am a specialist in the entire JavaScript and TypeScript ecosystem (including Node.js, React, Angular and Vue.js) I am expert in AI and in creating AI integrated solutions I am expert in DevOps and Serverless Architecture (AWS, Google Cloud and Azure) I am expert in PHP and its frameworks (such as Codeigniter and Laravel).
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Articles — Page 18
Articles
Contract tests for MCP servers in TypeScript
Test a TypeScript MCP server with a stdio client, Vitest, and Inspector. Catch broken schemas, missing tools, and errors before CI.
AI software engineer portfolio: what to prove
Build an AI software engineer portfolio that shows the problem, architecture, tests, failures, operations, and decisions behind a project.
Durable execution for AI agents: queue or workflow?
Learn when AI agents need durable execution, checkpoints, queues, or workflows to resume safely after failures and retries in production with clear trade-offs.
AI agent memory: Graphiti, vector RAG, or PostgreSQL?
Compare Graphiti, vector RAG, and PostgreSQL for AI agent memory. Separate truth, retrieval, history, and verification before production decisions at scale.
