Build Your Own Agentic Harness in Python - Full Tutorial
Developers can construct a fully functional AI agent harness in pure Python without relying on external frameworks. The tutorial guides users through installing dependencies like MCP, OpenAI, and Pydantic to establish a basic agentic loop. This process enables tool calling, persistent memory storage, and model routing using local or cloud-based Large Language Models. The resulting system allows users to execute complex tasks such as file summarization and workspace management through a custom terminal interface.
Software Engineering Is Changing Here's What to Focus On
Software engineering roles have shifted dramatically over the last three to four years toward system design, ownership, and AI tool integration. Professionals adapting to these changes report earning significantly higher salaries than in previous years. The industry now prioritizes building proof of concepts and leveraging the engineering layer over traditional coding tasks. Engineers who focus on these evolving areas secure better career trajectories and financial outcomes.