Deep dives into agentic AI, LLM evaluation, synthetic data generation, model selection, and production AI engineering best practices.
9 of 314 articles
A layered testing strategy for AI agents -- unit tests with mocks, behavioral evals, LLM-as-judge semantic evaluation, integration tests, and production monitoring.
Integrating the Anthropic Claude API in Go -- official SDK patterns, concurrent batch processing, streaming, retry logic, and production HTTP service architecture.
Explore how AI agents are transforming retail demand forecasting and inventory management, reducing waste and stockouts across US, EU, and Asia-Pacific retail operations.
Salesforce Spring '26 launches 10 new agentic AI tools including Agentforce Builder with hybrid reasoning. Full feature breakdown and enterprise impact.
Where agentic AI is heading in 2026 -- multi-agent coordination, persistent memory, AI-to-AI economies, developer leverage increases, and reliability engineering.
Discover how agentic AI is transforming sports analytics with autonomous athlete performance optimization, real-time game strategy, injury prevention, and scouting across US, European, and Asian sports leagues.
Anthropic's Model Context Protocol (MCP) is emerging as the universal standard for connecting AI models to tools and data sources. How it works, who supports it, and why it matters.
Major insurer cuts liability assessment by 23 days and improves routing accuracy by 30% with AI agents. How back-office automation scales.
