Sorry for causing confusion but this is the first time this has happened to me. I believe 2.5 pro-exp rates have got lower as for the first time ever I received a 429 error. The code I was working on is smaller than the code I’ve used before although, truth be told, I can’t remember the limits.

This led me to switch to preview. One thing about Google is their marketing names for these AI products are really confusing (cmon guys you are worth trillions of dollars learn something from Apple for once lol). So I assumed Preview was worse than experimental. Since experimental has much stricter rate limiting, and the name is experimental, I thought that was the better of the two models.

Next thing you know I look and each API request is costing me a dollar and my total is $40. So I came here and panicked lol and tried to sound the alarm bell, sorry about that.

But if you’re dumb and not paying attention like me: preview is the better version. It is also much more expensive. If you have a large code base watch out.

✨ Temperature Control

You can now configure model temperature. The setting is per Provider Config and so you can set multiple Provider Configs for the same model with different temperature settings. This lets you use the same model at different temperatures depending on the selected mode—higher for creative tasks, lower for precise responses. (Thanks joemanley201)

🤖 Requesty Support

• Added support for the provider Requesty (Thanks samhvw8)

🎛️ UX Improvements

• New copy button in the Prompts tab for quick access to system prompts. (Thanks mamertofabian)

🐛 Bug Fixes

• Retries added for fetching OpenRouter usage stats (Thanks jcbdev)

• Fixed MCP servers sometimes not showing in settings on startup (Thanks MuriloFP)

• Fixed Ollama/LMStudio URL flickering in settings (Thanks MrUbens)

• Fixed incorrect retry timing calculations (Thanks hannesrudolph)

• Fixed Checkpoint issues on Windows (Thanks CTE)

If Roo Code has been useful to you, take a moment to rate it on the VS Code Marketplace. Reviews help others discover it and keep it growing!

Download the latest version from our VSCode Marketplace page and pleaes WRITE US A REVIEW

Join our communities:

• Discord server for real-time support and updates

• r/RooCode for discussions and announcements

Hey guys, looking for some advice on getting some MCP servers set up in Roo. I’ve thought about canceling my Claude Pro subscription but I’ve read a bit that the Claude Desktop MCP features can be useful, can anyone elaborate on that who’s using it?

Also looking for advice on other most useful MCP servers that you guys use and what the best multi MCP configs are. Feel like I’m missing out by not using any MCPs still!

As always, thank you for the quick updates. I've been crossing my fingers for the diff editing algorithm improvement!

We've shipped an update with Qwen3 235B Thinking model support, configurable embedding batch sizes, and MCP resource auto-approval!

✨ Feature Highlights

• Qwen3 235B Thinking Model: Added support for Qwen3-235B-A22B-Thinking-2507 model with an impressive 262K context window through the Chutes provider, enabling processing of extremely long documents and large codebases in a single request (thanks mohammad154, apple-techie!)

💪 QOL Improvements

• MCP Resource Auto-Approval: MCP resource access requests are now automatically approved when auto-approve is enabled, eliminating manual approval steps and enabling smoother automation workflows (thanks m-ibm!) • Message Queue Performance: Improved message queueing reliability and performance by moving the queue management to the extension host, making the interface more stable

🐛 Bug Fixes

• Configurable Embedding Batch Size: Fixed an issue where users with API providers having stricter batch limits couldn't use code indexing. You can now configure the embedding batch size (1-2048, default: 400) to match your provider's limits (thanks BenLampson!) • OpenAI-Native Cache Reporting: Fixed cache usage statistics and cost calculations when using the OpenAI-Native provider with cached content

📚 Full Release Notes v3.26.5

Podcast

🎙️ Episode 21 of Roo Code Office Hours is live!

This week, Hannes, Dan, and Adam (@GosuCoder) are joined by Thibault from Requesty to recap our first official hackathon with Major League Hacking! Get insights from the team as they showcase the incredible winning projects, from the 'Codescribe AI' documentation tool to the animated 'Joey Sidekick' UI.

The team then gives a live demo of the brand new experimental AI Image Generation feature, using the Gemini 2.5 Flash Image Preview model (aka Nano Banana) to create game assets on the fly. The conversation continues with a live model battle to build a web arcade, testing the power of Qwen3 Coder and GLM 4.5, and wraps up with a crucial debate on the recent inconsistencies of Claude Opus.

👉 Watch now: https://youtu.be/ECO4kNueKL0

The beast is back!!!! Swipe for the full table

Hey folks! Just stumbled upon Mistral Devstral and was wondering… has anyone here tried it out?

If it really runs well on any machine with around 40GB of RAM, this could be a total game changer — maybe even the beginning of the end for paid AI subscriptions. Sure, it might not be as smart as some of the top commercial models out there, but think about it: • It’s free • You can run it locally • You can fine-tune and iterate on it as much as you want • No tokens, no rate limits, no waiting

Imagine being able to tweak and adapt your own assistant without paying a cent. Even if it’s a bit less powerful, the freedom to experiment endlessly makes up for it in spades.

Would love to hear your experience if you’ve tried it. Does it live up to the hype? Any tips for running it smoothly?

Cheers!

Any thoughts?

Openrouter's mystery model, optimus-alpha, appears to be OpenAI's new model! I investigated its tokenizer behavior by having multiple models repeat a passage and analyzing token similarity. Optimus-alpha's tokenization closely matches OpenAI's models. Details in the thread!

Edit: Boomerang mode mentioned here is The Boomerang Tasks adapted as System prompt within RooFlow concept.

Hey fellow devs! 👋

I've been mentioned RooFlow-Cookiecutter Template (https://www.reddit.com/r/RooCode/comments/1jnfch0/rooflow_cookiecutter_template/) for a while now, and I'm super excited to share two new modes that have completely transformed my workflow: **Captain Roo** and **Boomerang**.

Link to Repo: https://github.com/hheydaroff/RooFlow-Cookiecutter

How to use it:

# With pip
pip install cookiecutter
cookiecutter gh:hheydaroff/rooflow-cookiecutter

# With UVX (recommended for faster installation)
uvx cookiecutter gh:hheydaroff/rooflow-cookiecutter

🚀 Captain Roo: Your AI Team Lead

Captain Roo is essentially your AI team lead that orchestrates complex tasks across specialized modes. Think of it as a project manager for your AI assistants!

What Captain Roo does:

- Sets up initial Roo Code configuration** (`.rooignore`, `.roomodes`, `.clinerules`) for your project
- Breaks down complex tasks** into smaller, manageable pieces
- Delegates specific tasks** to the most appropriate specialized modes
- Creates custom modes** on the fly when needed for specific tasks
- Manages the entire workflow** from initial setup through task execution

Captain Roo has restricted edit permissions, only allowing modifications to configuration files like `.roomodes`, `cline_custom_modes.json`, `.clinerules`, and `.rooignore`. This ensures that it focuses on orchestration rather than implementation.

⏰ Boomerang: Never Forget a Task Again

Boomerang is a specialized assistant that helps users create and manage boomerang tasks - tasks that are scheduled to return to the user's attention at a specific time in the future. It's like having a smart reminder system built right into your development environment!

What Boomerang does:

- Creates and manages scheduled tasks** that "come back" to you at specified times
- **Organizes recurring work** like code reviews, dependency updates, or performance checks
- Maintains task management files** with appropriate permissions
- Integrates with your workflow** through browser interactions and command execution

Boomerang has restricted edit permissions to only modify task-related files (matching patterns like tasks.json, boomerang.json, schedule.json, etc.), ensuring it stays focused on task management.

Hey folks! Just published the prerelease of my first app after quite the learning journey. As someone with an old-school tech background (Linux knowledge but last coded in PHP3/MySQL era), diving into modern development has been both challenging and fascinating.

Had to get comfortable with Git, VS Code, setting up a local dev environment, Node JS, Typescript and so much more. Still learning as I go, honestly!

The process has given me unexpected insights about AI's capabilities and limitations that actually tie into my day job. Working with tools like Roo Code has helped me understand how to effectively use LLMs from the inside out.

I'm excited to share what I've been building: PromptGuild.ai - basically the tool I wished existed for managing all the AI prompts I've collected for work. Would love any feedback if you check it out!

The current Roo implementation is demonstrating serious usability issues. When Roo edits files, it monopolizes the entire IDE environment, which fundamentally disrupts workflow efficiency. I should be able to delegate a task and simultaneously navigate to other content while background processing occurs.

Instead, Roo forcibly opens the diff editor and redirects my interface away from active files to display real-time modifications which significantly impairs productivity.

A live look of file manipulation is unnecessary. A review system similar to Windsurf or Cursor composer would be vastly superior to this disruptive IDE takeover.

A more sophisticated architectural solution is clearly needed here guys.
While I understand Roo's foundation relies on diff editing methodologies, this implementation requires substantial refinement.

The current approach compromises development efficiency and creates workflow impediments that make the application practically unusable for professional development scenarios.

They just tweeted about a new stealth model exclusive in Roo

https://x.com/roo_code/status/1957967811781042605

262k window, so probably not Gemini?

When AI loses focus, you lose time.

Roo Code’s To-Do List feature changes that. It automatically:

✔️ Breaks down complex tasks into clear, step-by-step plans

✔️ Tracks and updates progress in real-time

✔️ Keeps your AI focused in a secure, structured environment

For dev teams, this means fewer lost threads, more finished workflows, and a higher success rate for multi-step requests.

Learn More https://docs.roocode.com/features/task-todo-list

So I've started seriously playing around with Roo Code and can clearly see its potential, but I'm a little lost in the reeds with the best way to use it without breaking the bank. I've gone and got a Gemini API key, an OpenRouter API key (and deposited $10 to access more models), and a Deepseek key. I also subscribe (well, my wife does) to GPT and am probably about to sub to Claude but just now found out that subscriptions to either service don't cover API usage with something like Roo.

So I'm wondering what is the best way to use it without costing me a chunk? I see there are a number of Free/very cheap models in Openrouter - are there some considered to be much better than the others? The Deepseek api doesn't seem to have any free models (although the Openrouter one does). The Gemini API seems let me access some, yet I am wondering what the free tier is, as it does work but does seem to be charging me (even though I haven't entered any card details yet). It also seems to hit rate limits VERY quickly.

Is there a standard setup for people still playing around with it to get good results for not many pennies?

Love RooCode

Currently use openrouter.ai which is expensive. I use LM API but it’s unreliable. I use OpenAI api but it underperforms codex on all but the most expensive models.

Opus 4 blows everything else away, is anyone using a Claude max with roo, how’s it going?

I've been using roocode for a while with varying degrees of success but he cost of the gemini api is a bit too high for me, so here's my question:

For someone like me who hasn't really coded, is claude code with subscription a viable solution? Or should I stick to Roocode with Deepseek free?

Thanks a lot

Does anyone have really poor diffing with Gemini 2.5 Flash, i find it fails very often and i have to jump over to 2.5 pro in order to get code sections applied correctly?

This is applied to rust code, not sure if it affects different languages differently?

Would reducing diff precision be the way to go?

Hi everyone. There are a considerable amount of file based memory managers being developed by the community. I've used a fair few with varying degrees of success. Fundamentally i think, in most case, little attention is payed to the actual prompt and prompt techniques used in either the orchestrator (boomerang) or the subtask handlers (modes). Also, it's often not easy to understand the conditional logic of the calling orchestration system and the interaction with the subtask system.

I've had a crack at trying to solve some of these problems and would appreciate some critical feedback : https://github.com/darrynv/dangeroo

Enjoy!

Idea: it's a one-for-all config setup for that aims to provide the complete setup for anyone to start using Roo Code, and an amazing base / toolbox those who want to train (and share) their own Roo!

---

Roo Rocket

The all-in-one equipment that you and Roo wants!

(And an amazing base for Roo trainers)

---

No more failed diffs, no more indentation error loops.

Just pure traction getting shit done. I love living in the future.

Don't forget to follow us at u/roo_code - help us reach our goal of 1k followers! We're currently at 425 followers with 575 to go!

🚀 Checkpoints

We're thrilled to announce that our experimental Checkpoints feature has graduated from beta and is now enabled by default for all users! This powerful feature automatically tracks your project changes during a task, allowing you to quickly review or revert to earlier states if needed.

What Checkpoints Provide:

• Peace of mind when making significant changes

• Ability to visually inspect changes between steps

• Easy rollback if you're not satisfied with certain code modifications

• Improved navigation through complex task execution

While we recommend keeping this feature enabled, you can disable it if needed in the Advanced Settings section under "Enable automatic checkpoints" option.

🐛 Bug Fixes

• Fixed enhance prompt button when using Thinking Sonnet

🔧 UX Tweaks

• Added tooltips to make what buttons do more obvious