alt Hacker NewsBuilding your AI agent "toolkit" is becoming the equivalent of the perfect "productivity" setup where you spend your time reading blog posts, watching YouTube videos telling you how to be productive and creating habits and rituals...only to be overtaken by a person with a simple paper list of tasks that they work through.
Plain Claude, ask it to write a plan, review plan, then tell it to execute still works the best in my experience.
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Lots of money being made by luring people into this trap.
The reality is that if you actually know what you want, and can communicate it well (where the productivity app can be helpful), then you can do a lot with AI.
My experience is that most people don't actually know what they want. Or they don't understand what goes into what they want. Asking for a plan is a shortcut to gaining that understanding.
> Plain Claude, ask it to write a plan, review plan, then tell it to execute still works the best in my experience.
Working on an unspecified codebase of unknown size using unconfigured tooling with unstated goals found that less configuration worked better than more.
if you work on platforms, frameworks, tools that are public knowledge, then yeah. If there’s nothing unique to your project or how to write code in it, build it, deploy it, operate it, yeah.
But for some projects there will be things Claude doesn’t know about, or things that you repeatedly want done a specific way and don’t want to type it in every prompt.
This resonates with me. Sometimes I build up some artifacts within the context of a task, but these almost always get thrown away. There are primarily three reason I prefer a vanilla setup.
1. I have many and sometimes contradictory workflows: exploration, prototyping, bug fixing debugging, feature work, pr management, etc. When I'm prototyping, I want reward hacking, I don't care about tests or lint's, and it's the exact opposite when I manage prs.
2. I see hard to explain and quantify problems with over configuration. The quality goes down, it loses track faster, it gets caught in loops. This is totally anecdotal, but I've seen it across a number of projects. My hypothesis is that is related to attention, specifically since these get added to the system prompt, they pull the distribution by constantly being attended to.
3. The models keep getting better. Similar to 2, sometime model gains are canceled out by previously necessary instructions. I hear the anthropic folks clear their claude.md every 30 days or so to alleviate this.