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I do something very similar, also with Claude and Codex, because the workflow is controlled by me, not by the tool. But instead of plan.md I use a ticket system basically like ticket_ _ .md where I let the agent create the ticket from a chat, correct and annotate it afterwards and send it back, sometimes to a new agent instance. This workflow helps me keeping track of what has been done over time in the projects I wo…
> Notice the language: “deeply”, “in great details”, “intricacies”, “go through everything”. This isn’t fluff. Without these words, Claude will skim. It’ll read a file, see what a function does at the signature level, and move on. You need to signal that surface-level reading is not acceptable. This makes no sense to my intuition of how an LLM works. It's not that I don't believe this works, but my mental model doesn…
> Most developers type a prompt, sometimes use plan mode, fix the errors, repeat. > ... > never let Claude write code until you’ve reviewed and approved a written plan I certainly always work towards an approved plan before I let it lost on changing the code. I just assumed most people did, honestly. Admittedly, sometimes there's "phases" to the implementation (because some parts can be figured out later and it's mor…
We all tend to regress to average (same thoughts/workflows)...
Have had many users already doing the exact same workflow with: https://github.com/backnotprop/plannotator
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I partly agree with you. But once you have a codebase large enough, the changes become longer to even type in, once figured out. I find the best way to use agents (and I don't use claude) is to hash it out like I'm about to write these changes and I make my own mental notes, and get the agent to execute on it. Agents don't get tired, they don't start fat fingering stuff at 4pm, the quality doesn't suffer. And they ca…
I want to be clear, I'm not against any use of AI. It's hugely useful to save a couple of minutes of "write this specific function to do this specific thing that I could write and know exactly what it would look like". That's a great use, and I use it all the time! It's better autocomplete. Anything beyond that is pushing it - at the moment! We'll see, but spending all day writing specs and double-checking AI output…
This new version that I'm doing (from scratch with ChatGPT web) has a far more ambitious scope and is already at the "usable" point. Now I'm primarily solidifying things and increasing test coverage. And I've tested the key parts with IRL scenarios to validate that it's not just passing tests; the thing actually fulfills its intended function so far. Given the increased scope, I'm guessing it'd take me a few months to get to this point on my own, instead of under a week, and the quality wouldn't be where it is. Not saying I haven't had to wrangle with ChatGPT on a few bugs, but after a decent initial planning phase, my prompts now are primarily "Do it"s and "Continue"s. Would've likely already finished it if I wasn't copying things back and forth between browser and editor, and being forced to pause when I hit the message limit.
> Notice the language: “deeply”, “in great details”, “intricacies”, “go through everything”. This isn’t fluff. Without these words, Claude will skim. It’ll read a file, see what a function does at the signature level, and move on. You need to signal that surface-level reading is not acceptable. This makes no sense to my intuition of how an LLM works. It's not that I don't believe this works, but my mental model doesn…
Same reason that "Pretend you are an MIT professor" or "You are a leading Python expert" or similar works in prompts. It tells the model to pay attention to the part of the corpus that has those terms, weighting them more highly than all the other programming samples that it's run across.
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For Claude at least, the more recent guidance from Anthropic is to not yell at it. Just clear, calm, and concise instructions.
wait seriously? lmfao thats hilarious. i definitely treat claude like shit and ive noticed the falloff in results. if there's a source for that i'd love to read about it.
See, uhhh, https://pmc.ncbi.nlm.nih.gov/articles/PMC8052213/ and maybe have a shot at running claude while playing Enya albums on loop.
/s (??)
This all looks fine for someone who can't code, but for anyone with even a moderate amount of experience as a developer all this planning and checking and prompting and orchestrating is far more work than just writing the code yourself. There's no winner for "least amount of code written regardless of productivity outcomes.", except for maybe Anthropic's bank account.
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What if it's just slower so that your daily work fits within the paid tier they want?
It isn’t slower. I use my personal ChatGPT subscriptions with Codex for almost everything at work and use my $800/month company Claude allowance only for the tricky stuff that Codex can’t figure out. It’s never application code. It’s usually some combination of app code + Docker + AWS issue with my underlying infrastructure - created with whatever IAC that I’m using for a client - Terraform/CloudFormation or the CDK.…
It doesn’t seem controversial that the model that can solve more complex problems (that you admit the cheaper model can’t solve) costs more.
For the things I use it for, I’ve not found any other model to be worth it.
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I want to be clear, I'm not against any use of AI. It's hugely useful to save a couple of minutes of "write this specific function to do this specific thing that I could write and know exactly what it would look like". That's a great use, and I use it all the time! It's better autocomplete. Anything beyond that is pushing it - at the moment! We'll see, but spending all day writing specs and double-checking AI output…
For the last few days I've been working on a personal project that's been on ice for at least 6 years. Back when I first thought of the project and started implementing it, it took maybe a couple weeks to eke out some minimally working code. This new version that I'm doing (from scratch with ChatGPT web) has a far more ambitious scope and is already at the "usable" point. Now I'm primarily solidifying things and incr…
I recommend to try out Opencode with this approach, you might find it less tiring than ChatGPT web (yes it works with your ChatGPT Plus sub).