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AI Engineer May 30, 2026

How I deleted 95% of my agent skills and got better results — Nick Nisi, WorkOS

Summary

The transcript focuses on building AI systems and improving developer productivity through AI agents, specifically highlighting the speaker's work at WorkOS managing multiple repositories across various programming languages. The speaker introduces a project called "Case" that helps AI agents quickly understand context across different platforms like GitHub, Slack, and Linear, reducing setup time and context switching. The key takeaway is that the future of developer experience lies not just in supporting developers directly, but increasingly through creating efficient and intelligent AI agent workflows that can rapidly understand and execute tasks across complex technical environments.

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