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Senior engineers are increasingly adopting advanced AI coding assistants like Cursor and Claude, with a significant portion of daily code generation now falling between 50% and 75%. To maintain code quality amidst this shift, practitioners are moving beyond basic prompts to implement strategic frameworks involving context engineering, custom rules, and Model Context Protocol (MCP) integrations. These actionable techniques represent the current frontier for balancing high AI adoption rates with clean, maintainable software architecture.
Presentation: Choosing Your AI Copilot: Maximizing Developer Productivity

Sepehr Khosravi discusses the evolution of developer productivity tools. Evaluating the strengths of tools like Cursor and Claude Code, he explains actionable techniques for senior engineers - including context engineering, custom rules, and Model Context Protocol (MCP) integrations. He shares real-world benchmarks and strategic frameworks for balancing AI adoption with clean code quality. By Sepehr Khosravi
Sepehr Khosravi: I'm Sepehr. I'm a Machine Learning Platform Engineer at Coinbase. I also teach part-time at UC Berkeley, a couple of different AI classes. I'm also the founder of AI Scouts, which is a free camp I run for teens to learn AI. I used to work at a teddy bear company before coming into tech. This is my second career. Before hopping into choosing your favorite AI copilot, one thing I want to go over is seeing where do we stand today in terms of developer productivity and AI tools. Go ahead and answer the first question, which is going to be, what level of AI-assisted coding best describes you? We're seeing mostly intermediate people, around 50%. Five percent of people saying they don't use any AI at all, which is great. Thirteen percent being around beginner. We have a good amount of people being around advanced with 33% as well. Then, second piece, what percentage of your daily coding that you generate do you think is generated or assisted by AI? It seems like a good chunk of people are having the majority of their code, 50% to 75%, actually be generated by AI, which is larger…
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