Exploring the potential of AI in coding tasks, this chapter emphasizes leveraging data and modules for problem-solving efficiency. Greylock delves into startup approaches in AI coding tools while raising critical technical challenges for AI to surpass human engineers in real-world applications.
Greylock partner Corinne Riley reads her essay "Code Smarter, Not Harder: Solving the Unknowns to Developing AI Engineers."
Building AI tools for code generation and engineering workflows is one of the most exciting and worthy undertakings by startups today. But there are still many open questions about the technical unlocks that must be solved to make coding tools that work as well as (or better than) human engineers in a production setting. Riley explores these core questions alongside an analysis of the current ecosystem of startups developing AI coding tools. You can read the essay here: https://greylock.com/greymatter/code-smarter-not-harder/
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