@kentcdodds: One thing we need to teach users is how to use the agent to do everything. When they hit a wall with something they sho…
Summary
Kent C. Dodds emphasizes the importance of teaching users to utilize AI agents effectively by communicating their goals, allowing agents with proper tools to overcome obstacles.
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@kentcdodds: In this video I show you what agents actually do when they're interacting with @kodykoala. I think you'll find it reall…
Kent C. Dodds shares a video showing how AI agents interact with @kodykoala, emphasizing giving agents secure access to needed services.
@kentcdodds: Your agent can't drive itself because you have to keep steering it on the same thing over and over again. There's an ag…
Kent C. Dodds comments on the limitations of AI agents that require constant steering and suggests a solution to avoid repetitive instructions.
@kentcdodds: Agents write code. @rasmic says old engineering books help you steer them better.
Kent C. Dodds shares Rasmic's insight that old engineering books can help steer AI agents that write code.
@kentcdodds: This is a great article and is exactly the kind of thing I'm talking about in my most recent YouTube video https://yout…
Kent C. Dodds shares an article and YouTube video arguing that the quality of AI agent outputs depends on the design of system primitives—providing agents with well-crafted, composable building blocks narrows their action space and yields reliable results.
@kentcdodds: Good DX is good UX when agents are users. My chat with @RhysSullivan on Executor, MCP, and product primitives.
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