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Modern Python Patterns for Data Engineering: From Async Pipelines to Structural Pattern Matching
Introduction: Modern Python has evolved dramatically with features that transform how we build data engineering systems. This comprehensive guide explores advanced Python patterns including structural pattern matching, async/await for concurrent data processing, dataclasses and Pydantic for robust data validation, and context managers for resource management. After building production data pipelines across multiple organizations, I’ve found […]
Read more →Workflows: Graph-Based Agent Orchestration in Microsoft Agent Framework – Part 6
Build graph-based workflows connecting multiple agents. Learn executors, edges, conditional routing, and checkpointing for complex business processes.
Read more →Your Copilot Is Watching: The Real Story Behind AI Coding Assistants in 2025
🎓 AUTHORITY NOTE Drawing from 20+ years of software development experience, leading teams of 10-100 engineers, and having evaluated every major AI coding assistant in production environments. This represents hands-on, production-tested insights. Executive Summary Something shifted in how we write code over the past two years. It wasn’t a single announcement or product launch—it was […]
Read more →Tips and Tricks – Use functools.cache for Automatic Memoization
Cache expensive function results automatically with the built-in cache decorator.
Read more →Testing AI-Powered Frontends: Strategies for LLM Integration Testing
Testing AI-Powered Frontends: Strategies for LLM Integration Testing Expert Guide to Testing AI Applications with Confidence I’ve tested AI applications that handle streaming responses, complex state, and real-time interactions. Testing AI frontends is different from traditional web apps—you’re dealing with non-deterministic outputs, streaming data, and asynchronous operations. But with the right strategies, you can test […]
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