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The Problem Over the past year of building software across multiple companies and a ton of personal projects, I have noticed an uncomfortable reality: the more useful I wanted my agents to be for my work, the more access I needed to give them.
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Earlier today, Nick Rempel mentioned in a tweet how important it is to set up tight feedback loops for AI agents when you’re working on something: Ive been using @cursor_ai heavily and I’ve developed a workflow that makes coding with LLMs way less painful.
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After my last post on how the PRD->Tasklist->Work process I’ve been using for the past month has been instrumental for my being able to effectively context switch between a dozen different projects I have received a number of requests about the details of…
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Another observation from using AI agents for multiple projects – at work and for a bunch of pet projects at home: The PRD → Tasklist → Work loop makes context switching surprisingly painless.
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I’ve spent the last year turning large‑language‑model agents into productive teammates.
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Someone, somewhere, is the person who pressed go on that software update.
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This is my interview with Dr.
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Today was my last day at Elastic.
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This article has been originally posted on Swiftype Engineering blog.
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Based on my experience, just a decade ago not many people within the Silicon Valley startup community considered compliance an important stepping stone in a company’s development roadmap.