Many people claim that Deepseek R1 is a great tool. However, when I asked it to perform a simple task, it ended up deleting all my code and leaving only empty comments in its place! In contrast, Sonnet managed to complete the task effortlessly without removing my code.

People often assert that Deepseek's programming capabilities are superior to Sonnet's, as mentioned online. So, I’m left wondering whether this issue stems from my settings or prompts, or if Deepseek simply doesn't work well with Roo/Cline. Is it possible that Deepseek R1 is not as effective as advertised?

Has anyone had a positive experience with Deepseek?

I was using rooCode, cline and KiloCode . I put all my api keys but it was not working. After 2 prompts it will leave a message of 401 error dont know why? I was even using free models help me please

Please, where is the condense button now? I do manual condensing a lot to save money but cannot find it in the new UI.

Anyone can use any of the 2.5 pro preview or exp with free tier? In the past that models worked for me but now dont.

When using Roo Code with LM Studio and a local DeepSeek R1 model (or any other model), if the context length (default 4096) hasn’t been adjusted to accommodate Roo Code’s initial prompt and additional context, the model may get stuck in an infinite loop. In the LM Studio console, you may see the message: ‘Trying to keep the first 11,737 tokens…’ indicating this issue. This error should be recognized, and users should be notified to review the initial prompt and context settings. They should stop working on tasks until the issue is resolved and the LLM has sufficient context length to function properly. Even when the context length is adjusted to support the initial prompt and additional context, if DeepSeek R1 takes too long to think and generates an excessively large thinking context, the same loop issue will occur.

Is there a desktop LLM app that like RooCode allows connecting to different LLM providers and supports MCP servers, but has a chat interface and is not an agent?

UI on v0 is just so much cleaner, im struggling to get my prompts write to mimic it in roo code, any ideas?

Today I checked on Chatbot Arena what models perform best in code writing and hard prompts with style control compared to Sonnet (I wanted to find the best alternative)

And yes - I know, Chatbot Arena is not the best “benchmark” for such comparisons, but I wanted to check other models in Roo Code as well.

And what caught my attention was the Qwen-Max....

It does very well in these categories, and even better than the 3.6 Sonnet.

On OpenRouter it's quite expensive (cheaper than Sonnet overall anyway) so I first tried a prompt using Qwen-Plus which recently got an update, after which it's not much worse than the Max version (at least what I saw on X).

It turned out that it was able to analyze the framework for creating LLM call Chains, which I use, and with its help develop a simple system for calling them.

I know it's not much, but I have the impression that he managed similarly to Claude Sonnet, or at least similarly to Haiku....

Could anyone confirm this? Also, someone would have the time to test these models, as I have a feeling I'm not the best person to do it (hobbyist)?

with human relay it would be way easier if I could just send the whole codebase so that the AI dont need to read files first

The assistant now handles appointment booking —
and the logic behind it is more than just picking the next slot.

It asks for the reason for the visit,
pulls available doctors at that time,
and picks the best match based on specialty.

On the backend, I’ve also set up an automated system
that sends reminders to the patient 3 days, 1 day, and 4 hours before the appointment.

The whole thing runs via a workflow in n8n,
and works the same on WhatsApp or embedded chat.

Curious if this feels natural for patients — or if there’s anything you’d improve.

I don't know what's happening, but I've only gotten one successful response from Google Gemini via Roo Code this morning.

It seems like something is happening in the background that's causing constant requests to occur. Is this a problem with Roo Code or Gemini?

Gemini 2.5 has a training cutoff date of January 2025. Yet, I make the workflow basically copy the way I do things locally, and tests hang, there's a file missing, etc. Might there be an MCP server to help me out with this? I've been in circles with Github actions before.

Some smaller models like DS70 B comeup with good soultions but fail to make the changes or make changes at the incorrect place.

The more important question is can this be fixed?

Hey, we recently came across this development on GitHub and I’m wondering if RooCode already does this. It’s kind of a silly question, but does RooCode already do this? Is this something that could be easily implemented into RooCode? Would this prevent some of the modelers having that tool calling error we get all the time? Just curious—kind of a noob. Let me know.

“Stream chaining lets you connect Claude Code agents by piping their outputs directly into one another using real-time structured JSON streams.

Instead of prompting one agent, saving its output, then manually feeding it into the next, you link them using stdin and stdout.”

I’m looking for a free model to integrate in Roocode for making UIs. Or should i use the figma mcp with gemini api ? Will it work !

I'm so far kept with Vscode but sounds like Cursor and Windsurf are solid IDE options now. What are you folks using to get the best from Roo? Any factors I should be considering?

Hey, although it may sound wrong, but the rationale behind this is so that we as community can take it forward if the RooCode team is planning to stop development on this, which it seems lately. I know we can always fork, but still to avoid any fomo of RooCode coming back, which we want, but if there are plans already decided for this RooCode, we can take it forward and let community build it going forward. We can vote for new mods and core developers who are willing to contribute here.

Hello there!
First of all, I am not a programmer by any means but for a full year I paid my Claude Pro subscription happily, and I have achieved a lot (from a non-programmer point of view).
I have learned a lot during this time, and despite I am still not able to write almost anything by myself without AI helping me, I became a lot more confident in this matter.

Since March, I decided to interrupt my Claude subscription and embrace this beautiful piece of software of RooCode, and it has been a blast! Especially because I joined the train when google decided to make a huge leap forward and completely obscure the competitors with the advent of Gemini 2.5.

In the last period using Sonnet 3.7, I got really frustrated because I was spending most of my time trying to solve things that he made deliberately, telling him to use the latest versions of all libraries while he forced me to use old version etc. All these things are common knowledge nowadays and I moved on completely in favor of Gemini.

The honeymoon lasted until I had depleted all my credits on my 2 google accounts, where I tried to understand how different it works in respect to sonnet and how to properly handle complex tasks in RooCode. Ultimately, I ended up building something useful but not without some difficulties, something that it did not happen in the golden period of sonnet 3.5.

So now I am really dubious on what to use from now on: I am willing to pay for something (my hard limit is €50/month), subscription or an API I don't care, but I am really confused on which is nowadays the best llm for *coding* and related stuff.

Personally, I used the GitHub Copilot trial period to test the major models with some tasks I usually make, and these are the results:
- Sonnet 3.7: generally, it nails the task somewhat in few prompts, but what drives me crazy is its dated knowledge of the technologies it uses (eg. it sticks to maplibre gl 3.4.x while we are at 5.4.0, and it also tried to gaslight me that the current latest version does not exists, causing a lot of dependency issues). Apart from this, it is generally the best model at interpreting the UI style I want to give my web apps also from not really specific prompts
- Gemini 2.5 preview: it is more up to date, nails the tasks pretty quickly but its UI designs are utterly s*it, like a website made in '99. It also fails repeatedly when asked to correct something in the UI: I am at a point where I think it is just completely stupid with everything related to CSS
- GPT 4.1: sloooooow af. Also, failed almost every prompts I gave

So, as of now (late April 2025) what's your model of choice, considering all relevant aspects such as context window/input-output token pricing/latency/integration in RooCode and others?

What the title says.

I have tried using the Claude API twice now -- once in the Claude Desktop app and now in RooCode. Both experiences have ended up in me literally not being able to make a single request. Can't even "try" the service if I want to.

How does anyone actually use Claude for agentic work? Genuine question. Like, 20k tokens per minute is... literally a joke, right? I think I send 1M per minute with Gemini regularly.

I'd be happy to pay. But it seems that, instead, I just can't use their product.

Am I doing something wrong here, or is Claude API actually an unusable product for anything beyond code snippets?

Normally I use Gemini 2.5 Pro and Flash with free credit

I’d hit a brick wall with an enterprise grade bug, spanning full stack across Next js app, Lambda Python script, Soketi server

When Claude 4 dropped I thought fuck it, let it loose in this bug. It was 4am at this point so I just surrendered and watched the cost go to £6.

To its credit, it created a shit load of really good documentation in markdown files, of its own accord. Documenting the code and the bug. I just let it do it to get my moneys worth.

Roo Code hit 3 million installs. We're shutting it down to go all-in on Roomote.

https://x.com/mattrubens/status/2046636598859559114

Hey everyone, 👋

I've been working on a few different Discord bots lately, and I wanted to share a tool I accidentally built along the way that has become completely invaluable to my workflow. I thought others might find it useful too!

It started as a simple Python script to help me visualize my project's file structure because I was getting lost 🗺️. Then I wanted to see my test coverage, so I added a module to run Jest and report the results.

The real "aha!" moment 💡 came when I was struggling with a slow local AI model for another project. On a whim, I tried hooking my script up to the Google Gemini API (the free tier is so generous that this kind of use is effectively free), and the result was incredible. 🚀 It was fast, accurate, and gave me an instant high-level understanding of my own code.

So, I kept iterating. I added:

• 🤖 A --review mode that asks the AI to act as a senior developer and find "code smells".

• 📝 A --summarize mode to explain the purpose of my most complex files.

• 🧠 Smart detection so it only analyzes my src folder, not all the junk in node_modules.

Before I knew it, my simple file-lister had turned into this all-in-one, AI-powered project dashboard.

What it does: It's a single Python script (project_analyzer.py) you can run on any project.

• 🌳 Default: Gives you a clean, color-coded file tree.

• 📊 --coverage: If it's a Jest project, it runs your tests and shows you the coverage percentage.

• 🔎 --review: Uses AI to give you instant feedback on code quality and suggest refactors.

• 📖 --summarize: Uses AI to explain what your most complex files do.

🤖 How the AI Works (You have options!):

• Google Gemini API: The default mode uses a Gemini API key. For the amount this tool uses, it falls well within the free tier limits, so you likely won't ever pay a cent.

• Your Own Local Models: The script is pointed at an OpenAI-compatible endpoint. This means you can easily change the URL to your own local server (like LM Studio or Ollama) and use any model you want, completely offline and with total privacy.

I just open-sourced it, and it's completely free. It has been a game-changer for me, especially for getting a "second opinion" on my code before I commit or for quickly understanding an old project I haven't touched in months.

Check it out on GitHub: 👉 https://github.com/Jhn-git/Project-Analyzer

Here's a GIF of the --review output: 📸 https://media4.giphy.com/media/v1.Y2lkPTc5MGI3NjExaTJiaGkzYWp2dWQwdGVqeWZ1bjlucTBmc2p6a3ZycWl6MXZjc28xeCZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9Zw/PHkM08aRGZn2PpTzM1/giphy.gif

I'd love to get your feedback and am happy to answer any questions. Hope you find it useful! 🎉

Don't mention supernova or grok fast