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I'm confused by how Opus is presented to be superior in nearly every way for coding purposes yet the general consensus and my own experience seem to be that Sonnet is much much better. Has anyone switched to entirely using Opus from Sonnet? Or maybe switching to Opus for certain things while using Sonnet for others?
I've used Aider for a while, and I kind of liked if, but it felt like it needed way more manual work, and I also want to use different models, probably locally hosted. Haven't used Aider in 2 or 3 months, so I don't know if it already has evolved in that way...
edit: in the other hand, the automatic feedback loop means it sometimes go very crazy and the API costs skyrocket easily. But maybe that's another reason to run it locally.
Earlier quoted context omitted.
> I think it's pretty different from buying shoes. Shoe shopping is pretty complex, more so than trialing an AI model in my opinion. Are you a construction worker, a banker, a cashier or a driver? Are you walking 5 miles everyday or mostly sedentary? Do you require steel toed shoes? How long are you expecting them to last and what are you willing to pay? Are you going to wear them on long runs or take them river kaya…
> Shoe shopping is pretty complex, more so than trialing an AI model in my opinion. Oh c'mon, now you're just being disingenuous, trying to make an argument for argument's sake. No, shoe shopping is not more complicated than trialing a LLM. For all of those questions about shoes you are posing, either a) a purchaser won't care and won't need to ask them, or b) they already know they have specific requirements and wil…
Here's a quick guide to get you started with AI coding assistants:
## Quick Start Options (Easiest)
*1. Web-based (Nothing to Download)* - *Claude.ai* - You're here! I can help with code, debug, explain concepts - *ChatGPT* - Similar capabilities, different model - *GitHub Copilot Chat* - Web interface if you have GitHub account
*2. IDE Extensions (Most Popular)* - *Cursor* - Full VS Code replacement with AI built-in. Download from cursor.com, works out of the box - *GitHub Copilot* - Install as VS Code/JetBrains extension ($10/month), autocompletes as you type - *Continue* - Free, open-source VS Code extension, lets you use multiple models
*3. Command Line* - *Claude Code* - Anthropic's terminal tool for autonomous coding tasks. Install via `npm install -g @anthropic-ai/claude-code` - *Aider* - Open-source CLI tool that edits files directly
## What They Do
- *Autocomplete tools* (Copilot, Cursor) - Suggest code as you type, finish functions - *Chat tools* (Claude, ChatGPT) - Explain, debug, design systems, write full programs - *Autonomous tools* (Claude Code, Aider) - Actually edit your files, make changes across codebases
## My Recommendation to Start
1. Try *Cursor* first - download it, paste in some code, and ask it questions. It's the most beginner-friendly 2. Or just start here in Claude - paste your code and I can help debug, explain, or write new features 3. Once comfortable, try GitHub Copilot for in-line suggestions while coding
The key is just picking one and trying it - you don't need to understand everything upfront!
Opus 4(.1) is so expensive[1]. Even Sonnet[2] costs me $5 per hour (basically) using OpenRouter + Codename Goose[3]. The crazy thing is Sonnet 3.5 costs the same thing [4] right now. Gemini Flash is more reasonable[5], but always seems to make the wrong decisions in the end, spinning in circles. OpenAI is better, but still falls short of Claude's performance. Claude also gives back 400's from its API if you CTRL-C in…
E.g. if need a self-contained script to do some data processing, for example, Opus can often do that in one shot. 500 line Python script would cost around $1, and as long as it's not tricky it just works - you don't need back-and-forth.
I don't think it's possible to employ any human to make 500 line Python script for $1 (unless it's a free intern or a student), let alone do it in one minute.
Of course, if you use LLM interactively, for many small tasks, Opus might be too expensive, and you probably want a faster model anyway. Really depends on how you use it.
(You can do quite a lot in file-at-once mode. E.g. Gemini 2.5 Flash could write 35 KB of code of a full ML experiment in Python - self-contained with data loading, model setup training, evaluation, all in one file, pretty much on the first try.)
Earlier quoted context omitted.
No, the rotation of the Earth around its axis did so.
Technically, it Earth's rotation gives us day and night. Doesn't move the calendar, which is through Earth's orbital revolution
Alright, well, Opus 4.1 seems exactly as useless as Opus 4 was, but it's probably eating my tokens faster. Wish they let you tell somehow. At least Sonnet 4 is still usable, but I'll be honest, it's been producing worse and worse slob all day. I've basically wasted the morning on Claude Code when I should've just been doing it all myself.
I feel like this is just related to my projects getting bigger. Claude Code is trying to keep up with my project evolving from 2k lines of code to 100k lines. Of course it’s going to feel worse.
I expect to be completely blown away by GPT-5 in the first few days and then over time I will figure out the limitations of the model. Then I will be less impressed because you don't know what it can't do at first.
Is there any tool like Claude Code that can go into the same "automatic feedback and coding loop" (I don't know if it has an official name) but compatible with using different LLMs. I've used Aider for a while, and I kind of liked if, but it felt like it needed way more manual work, and I also want to use different models, probably locally hosted. Haven't used Aider in 2 or 3 months, so I don't know if it already has…
there's also claude-code-proxy to make claude code use other models.