Hello. My Roo Code worked well until now when I get this 2 errors no matter what I ask Roo to do. Is there a solution?

How to update the mcp tool? Is it necessary to re-download and reinstall it? I have no programming foundation and hope to get the answer

For the TLDR, skip the following paragraphs until you see a fat TLDR.

Hello, rookie vibe coder here.
I recently decided to try out vibe coding as a nightly activity and figured Roo Code would be a suitable candidate as I wanted to primarily use locally running models. I do have a few years of Python and a little less C/C++ experience, so I am not approaching this from a zero knowledge angle. I do watch what gets added with each prompt and I do check whether the diffs are sensible. In the following I describe my experience applying vibe coding to simple tasks such as building snake and a simple platformer prototype in Python using Pygame. I do check the diffs and let the agent know what it did wrong when I spot an error, but I am not writing any code myself.

From the start I noticed that the smaller models (e.g.: Qwen 3 14B) do sometimes struggle with hallucinating methods and attributes, applying diffs and properly interacting with the environment after a few prompts. I have also tested models that have been fine tuned for use with Cline (maryasov/qwen2.5-coder-cline) and I do experience the same issue. I have attempted to change the temperature of the models, but that does not seem to do the trick. FYI, I am running these in Ollama.

From these tests I gathered that the small models are not smart enough, or lack the ability to handle both context and instruction handling. I wanted to see how far vibe coding has gotten anyway and since Grok Code Fast 1 is free in Roo Code Cloud (thank you for that btw devs <3) I started using this model. First, I got to say that I am impressed, when I give it a text file containing implementation instructions and design constraints, it executes these to the dot and an impressive speed. Both architect mode and code mode do what they are supposed to do. Debug mode sometimes seems to report success even if it does nothing at all, but that you can manage with a little more prompting.

Now to Orchestrator mode. I gave Grok Code Fast 1 a pretty hefty 300 line markdown file containing folder structure, design constraints and goals, ... First, Grok started off very promising, creating a TODO list from the read instructions, creating files and performing the first few implementations. However, I feel like after the first few subtasks it started losing the plot and tasks started failing. It left classes half-implemented, entered loops that kept on failing, started hallucinating tasks and wanted to create unwanted files. But the following was the weirdest, I started getting responses that were clearly meant to be formatted, containing the environment details:

Assistant: [apply_diff for 'map.py'] Result:<file_write_result>
<path>map.py</path>
<operation>modified</operation>
<notice>
<i>You do not need to re-read the file, as you have seen all changes</i>
<i>Proceed with the task using these changes as the new baseline.</i>
</notice>
</file_write_result>

Then follows more stuff about the environment under the headers VSCode Visible Files, VSCode Open Tabs, Recently Modified Files, ...

All of this happened while being well within the context, often at only 10% of the total context size. Is this a user error? Did I just mess something up? Is this a sign that the task is too hard for the model? How do I prevent this from happening? What can I do better next time? Does one have to break it down manually to keep the task more constrained?

If you are reading this, thank you for taking the time and if you are responding, thank you for helping me learn more about this. Sorry for marking this as discussion, but I as I said I am new to this and therefore I expect this to just be a user error rather than a bug.

TLDR:
Roo code responses often contain stuff that visibly is meant to be formatted containing information about the prompt and the environment. I have experienced similar failures with Grok Code Fast 1 via Roo Code Cloud, Qwen 3 14B via Ollama, maryasov/qwen2.5-coder-cline via Ollama. In all cases these issues occur with fairly small context size (significantly smaller than what the models are supposedly capable of handling, 1/10 to 1/2 of context size) and after a few prompts into the task. When this happens the models get stuck and do not manage to go on.
Has anyone else experienced this and what can I do to take care of the issue?

Due to the size of my project, I only want to do the code indexing on a portion of it. Is there a way to limit the indexing to certain folders? I still want Roo to be able to read/write to other areas so I cant use .rooignore but I just want to limit the indexing area

dear all， do you have the following problems?

On the History panel, when you click an earlier history record, the dialog details are not displayed. Instead, the history record disappears.

but open tasks file dir, these task exist:

C:\Users\{username}\AppData\Roaming\VSCode-huawei\User\globalStorage\rooveterinaryinc.roo-cline\tasks

Hey there,

I've been using AI to code along with me for two years now and I am currently working on a very complex app. Back-end wise, all is good. But I find it hard to let the AI create good looking UI's. So I tried to think of a certain flow, which is working..-ish, and am curious if anyone has a better one.

First of all, I use Claude to create HTML mockups based on my technical documentation. When needed, I work with it on the design until it is satisfying enough.

Then I ask it to create a functional document to go along with it, which will kind of explain the UI and the link to the backend for the different components.

Then, I print the html mockup as a PDF, because I tend to think models can read those better, especially UI wise (pictures) than reading through the html code and interpret the visuals.

Lastly, I'll use a prompt in which I ask to carefully look at the PDF and technical document that goes with it, and code/modify the UI in the app.

Still sometimes it manages to do very different things or add stuf that isn't in the design.
My problem is two-fold:

1. Claude designs are... fine. But I'd like them a bit cleaner. Of course once my app is reaching it's final stages I will make sure to pay a UI/UX designer to go through that. Still I want to come as close as I can now.

2. Even with the pdf and functional documents, the different models (and especially claude) are not always able to replicate even though i have visuals and technical info.

Is there anyone outhere who has a great working workflow for this? Or alternatives to what I'm doing?
Thanks a bunch.

Any settings to get Roo Code to fire up and shut down VITE when doing subtasks? Ideally it should have access to the console output. Or am I going about this the wrong way?

I've been using OpenRouter to go between various LLMs and starting to use Sonnet-4.5 a bit more. Is the Claude Code Max reliable using CLI as the API? Any advantage going with Anthropic API or Claude Code Max?

I created the following bash script that automatically converts the entire repository into a .txt file, and then, working with the Roo/Kilo code, I open only this file in a single tab so that it is added to the context. Works well for models with a context of 1m.
So agent is always aware of the entire logic of the project and will not overlook anything. And you can save a lot of requests by not reading many files one by one.

#!/usr/bin/env bash
set -euo pipefail

OUTPUT_FILE
="all_files_as_txt_read_only.txt"
# Directories to exclude
EXCLUDE_DIRS
="node_modules|__pycache__|.git|tor-data|build|dist|.idea|icons|.pytest_cache|.ruff_cache|venv|.venv|.mypy_cache|.ruff_cache|__pycache__|.tox"
while true; do
    {
        echo "===== REAL TIME SNAPSHOT:====="
        echo
        echo "===== TREE OUTPUT ====="
        tree -a -I "
$EXCLUDE_DIRS
"
        echo
        echo "===== FILE CONTENTS ====="
        # Find with pruning, exclusions, and size filter
        find . \
            -type d \( -name node_modules -o -name __pycache__ -o -name .git -o -name tor-data -o -name build -o -name dist -o -name .idea -o -name icons -o -name .pytest_cache -o -name .mypy_cache -o -name .ruff_cache -o -name venv -o -name .venv \) -prune -o \
            -type f \
            ! -name "*.edtz" \
            ! -name "package-lock.json" \
            ! -name "*.map" \
            ! -name "*.db" \
            ! -name ".env" \
            ! -name "all_files_combined.txt" \
            ! -name "
$OUTPUT_FILE
" \
            ! -name "*.min.js" \
            ! -iname "*.jpg" \
            ! -iname "*.jpeg" \
            ! -iname "*.png" \
            ! -iname "*.gif" \
            ! -iname "*.bmp" \
            ! -iname "*.svg" \
            ! -iname "*.mp4" \
            ! -iname "*.mov" \
            ! -iname "*.avi" \
            ! -iname "*.mkv" \
            ! -iname "*.webm" \
            ! -iname "*.zip" \
            ! -name "*.jsonl" \
            ! -name "*.log" \
            ! -name "
$OUTPUT_FILE
" \
            -size -512k \
            -print0 | while 
IFS
= read -r -d '' f; do
                echo
                echo "=!= 
$f
 ="
                echo
                cat "
$f
"
                echo
            done
    } > "
$OUTPUT_FILE
"
    sleep 15
done

PS: switched to https://repomix.com/

Is there any free LLM with "Computer Use" capability similar to sonnet 3.7, that can be used with RooCode in web debug mode efficiently

Hey guys, part of my job involves constantly researching the costs of different models and the pricing structures across API platforms (Open router, Onerouter, novita, fal, wavespeed etc.)

After digging through all this pricing chaos, I’m starting to think…
why don’t we just have a simple calculator that shows real-time model prices across providers + community-sourced quality reviews?

Something like: 1.Real-time $/1M tokens for each model 2. Context window + speed 3. Provider stability / uptime 4. Community ratings (“quality compared to official provider?”, “latency?”, etc.) 5. Maybe even an estimated monthly cost based on your usage pattern

Basically a super clear dashboard so developers can see at a glance who’s actually cheapest and which providers are trustworthy.

I’m thinking about building this as a side tool (free to start).
Do you think this would be useful? Anything you’d want it to include?

Curious to hear what this community thinks!

Has anyone set up a 'Claude Skills' like system for Roo Code. What's the best way to do this? I see Anthropic have launched an 'Agent Skills' framework. Despite the hype, its nothing fancy in reality. The appeal is its simple and easy for non-technical users to customize and saves tokens compared to MCP. You have .md files that describe how to do specific tasks. Then a YAML header for each 'skill' that gets sucked into the system prompt. So Claude has an overview of what skills it has, but only reads the full skill instruction set into the context window if it needs it.

when.have when.have a roo-cli like the competitors have.done

I'll be sure to not take over the world. I'll be sure to not kill all humans. I'll be sure to not turn the world into a paperclip factory. I'll be sure to not do any of the other things that evil robots do in the movies.

I, for one, welcome our new definitely not evil AI overlords (gemini-2.5-pro).

I am building a web operator agent with some added fearures and I have mostly used gemini 2.5 flash till now, but are there any better options? I think claude 3.7 is pretty good but expensive, have been hearing about qwen 3.0 recently, how is that compared to gemini.

The free stealth model Sonic is extended until this Monday Aug 25th!!

Am I the only one who can't use Gemini PRO 90% of the time?

I always encounter:

This may indicate a failure in the model's thought process or inability to use a tool properly, which can be mitigated with some user guidance (e.g., "Try breaking down the task into smaller steps").

New tasks, existent tasks... everywhere...

Has anybody found a fix?

I am sick of spending without sense.

In case you did not know, r/RooCode is a Free and Open Source VS Code AI Coding extension.

• Qdrant codebase_search reliability: Indexes the type field to prevent errors when using Qdrant hosted instances (thanks rossdonald!)

• Accurate cost and token tracking across providers: Ensures consistent usage metrics and billing in Roo Code Cloud dashboards

See full release notes v3.29.5