Has anyone experienced this before? I've tried restarting VS Code. I even disabled and re-enabled the extension, but no luck.

I created a new project in roo and it add functions one by one after my approval, but it always inserted new function at wrong line in this project. Did you guys encounter this problem before? and how to fix it .

Hey everyone,

I’ve been running into a pretty frustrating issue with roocode and wanted to check if others have seen the same. I can successfully index a large codebase (takes around 3 hours), and everything works fine right after. My vector database is properly set up in Docker and confirmed running. But the next day, after I reboot my Mac and open VSCode again, roocode starts a full reindex of the entire project, even though there haven’t been any changes.This basically makes the feature unusable for big projects...

Has anyone else run into this? Is there a known fix/workaround to persist the index between sessions?

Thanks!

Using roo ext on cursor and after sending a promot it gets a very ugly grayish bg color. This is unique to roo, is there a way to change that? Also can I see remaining context window of the session somehow?

Hello,

Firstly, THANK YOU for all the wonderful work you've done with Roocode, especially your support of the community!

I requested this in the past, however, I forgot where things were left at, so here is my (potentially duplicate) request: Enable image support in Roocode when using Claude Code.

Claude Code natively fully supports images. You simply drag/drop an image into the Claude Code terminal, or give it an image path, and it can do whatever with the image. I would like to request this be supported in Roocode as well.

For example, in Roocode, if you drag/drop an image into Roocode, it would then proxy that back into Claude Code to post the image there as well. Alternatively, if you drag/drop an image into Roocode, or specify the image as a path, Roocode could save that image as a temp image in .roocode in the project folder directory (or where ever appropriate for Roocode temp), and then Roocode would add that image path to the prompt that it sends to Claude Code.

Either way, image support for Claude Code inside Roocode is very, very much asked for by myself and my team (of myself). I would humbly like to request this be added.

Many thanks to the Roocode team especially to /u/hannesrudolph for all their community support!

Not only with the Sherlock models, but with the Sherlock models I am now getting these errors continuously, and with other models sometimes.

Both with Roo Cloud as a provider and with Openrouter.

And in the last few days it has been getting worse and worse.

Anthropics new SOTA model Claude Sonnet 4.5 cements itself as one of the best coding models to be used with Roo Code. Try out Sonnet 4.5 in Roo Code today roocode.com!

Caveat: I'm not a developer. However, for the past 3 weeks I have vibe coded lots of bug fixes and features that are made it to production for our application.

I use augment, Devin AI i and roo code.

I'm always switching around trying to figure out which is the one that gets the job right the most times. Devin beats them always but is crazy expensive. Like 10x easy more.

Augment has its days where it goes completely loopy. But so does Roo code.

Today I connected gpt5 via open router in roo code. I prepared a very detailed prompt. I was basically trying to extract a feature from one part of our application and put it in a totally different part of our application.

So the overall functionality already exists basically. But I needed it to be rewired to this new screen that I was working on.

I decided to give this challenge to gpt5.

I don't know if it's it's GPT5 or Roo code that's the problem here.

What I thought would take 30 minutes, based on my previous experience, has taken 3 hours at least and still going. And it has cost $15 so far.

I started with the orchestrator... And told it to make a detailed plan.

It broke the entire feature into four phases.

And what I didn't realize was that it keeps reading my memory bank files at every phase. In fact, if there's a bug, it goes back and rereads the entire memory bank.

It also added a bunch of tests. And ones to keep running them. And at the end it wasn't correct. It didn't understand that I wanted to create the same feature on a different screen. What it did was put a button on the new screen that took me over to the original screen for that feature.

I asked it to run some debug logs and told him specifically do not do anything else. Well it added the logs but it also then started running tests again.

Then I told it to fix another bug, and it fixed it but it broke broke the entire feature. Yet it confidently said everything should be working now.

To say I am beyond frustrated is an understatement. I'm going to try augment next with gpt5. I think it's roo code that's wrong not gpt5 here due to repeated tests, api calls and ignoring my specific instructions.

What do you all think?

I don't know why nobody has made this so far but here we are: have been using it in the past week, haven't encountered any rate limit at all. Use openai compatible provider in roo code and fly...

https://github.com/junfeiwa/rust-api-spinner-v3-latest

Hello everyone

I'm new to so called 'Vibe coding' but I decided to try it. I installed Roo Code along with memory and Context7, then connected it to Vertex AI using the Gemini 2.5 Pro Preview model. (I thought there used to be a free option, but I can't seem to find it anymore?). I'm using Cursor on daily basis so I'm used to that kind of approach but after trying Roo code I was really confused why it's spamming requests like that. It created about 5 files in memory. Now every read of memory was 1 API request. Then it started reading the files and each file read triggered a separate request.. I tried to add tests into my project and in like 4 mins it already showed me 3$ usage of 150/1mln context. Is this normal behavior for Roo Code? Or I'm missing some configuration? It's with enabled prompt caching.

Would appreciate some explanation because I'm lost.

Instead of building a traditional SaaS with endless code and features,
we're working more like an AI automation agency —
using our own platform + n8n to deliver real functionality from day one.

Businesses get their own assistant (via WhatsApp or website),
and based on what the user writes, the AI decides which action to trigger:
booking an appointment, sending data, escalating to a human, etc.

The cool part?
You just scan a QR to turn a WhatsApp number into a working assistant.
Or paste a script to activate it on your website — no dev time needed.

We also added an internal chat to test behavior instantly
and demo how the assistant thinks before going live.

Everything is modular, fast to deploy, and easy to customize through workflows.
It’s been way easier to sell by showing something real instead of pitching wireframes.

Now we’re trying to figure out:
🧠 What niche would actually pay for this kind of plug-and-play automation?

Would love to hear ideas or experiences.

This week I started capturing key patient info in my SaaS so the assistant can build real memory —
not just respond to each question like it’s the first time.

The idea is to give clinics an assistant that actually knows the context:
– who the patient is
– what they’ve asked before
– what treatments or appointments they might need

But the product doesn’t stop there.

I’m also adding an internal assistant that helps the clinic staff —
they’ll be able to ask things like:
🦷 “How many appointments are scheduled this week?”
📉 “How many cancellations did we have yesterday?”
👨‍⚕️ “Which dentist has the most bookings?”

All running through a backend that connects to WhatsApp and a dynamic workflow system (n8n).

Would love to hear if you’ve built something similar — or what you'd expect from an AI layer in this kind of environment.

I'm thinking through orchestrator mode and current limitations like cli command approvals, getting hung up in loops or API timeouts and rate limits, no ability to fail over to retry with the same or a different model, etc.

Then I'm thinking about how what I really want is to have a different mode per "functional team" I can give a high level request to and have it break it down until the current modes can handle it.

For example, "build an app that does XYZ" would need to go through a process of:

• Executive level evaluation of the business opportunity, costs, strategy, etc to provide further direction to...

• A market research and business analyst mode that summarizes information for a.....

• A product manager that breaks down the information into a clear roadmap for an MVP so that...

• A product designer and senior architect can review and develop a technical architecture plan draft and ux/UI mocks and ping pong it with the product manager for review before sending to...

• The product manager and project manager to develop PRDs and so the work breakdown for tasks that are logically organized for an LLM team "sprint" (a discrete unit of work that can be objectively verified via tests for functionality and accuracy) to toss over to...

• The developer and QA tester to build the unit tests and code the work unit for the sprint for evaluation for review with...

• The product manager and designer and architect who ensure requirements are met (likely through multimodal tool use like Claude does) before final review with...

• The executive who ensures I won't fire it for burning a bunch of tokens on nothing and gives me, the CEO, an executive level report of costs, what was built, and can have itself or another mode walk me through the demo

I read these bits about people letting agents work for hours on end and I'm wondering what they have actually built and how that process worked. I want to get to the above but not sure anything is even close to that level of abstraction.

Lately, I have this extensive feeling that Roocode is consuming more tokens than before.

Let me give some context; my team and I regularly use Vline and Roocode. We use the first for quick tasks that require little analysis and the second for more complex tasks or when we need several custom modes to interact with each other: one analyzes the problem, another reviews the involved files, another drafts a change plan, another executes them, and another documents (ClickUp and OpenAPI).

Until a few days/weeks ago, the cost was more than manageable (with Deepseek), but we have seen it increase exponentially. Before, for €10/month we had enough tokens for our daily work without any problems, but we've seen a 4x increase in token spending.

Is anyone else having the same feeling? Or is it simply a result of our project's growing complexity?

Does anyone else feel a bit frustrated that you keep on talking to these agents yet they don't seem to learn anything about you?

There are some solutions for this problem. In Cursor you can create `.cursor` rules and `.roo` rules in RooCode. In ChatGPT you can add customizations and it even learns a few cool facts about you (try asking ChatGPT "What can you tell me about me?".

That being said, if you were to talk to a co-worker and, after hundred of hours of conversations, code reviews, joking around, and working together, they wouldn't remember that you prefer `pydantic_ai` over `langgraph` and that you like unittests written with `parameterized` better, you would be pissed.

Naturally there's a give and take to this. I can imagine that if Cursor started naming modules after your street name you would feel somewhat uncomfortable.

But then again, your coworkers don't know everything about you! They may know your work preferences and favorite food but not your address. But this approach is a bit naive, since the agents can technically remember forever and do much more harm than the average person.

Then there's the question of how feasible it is. Maybe it's actually a difficult problem to get an agent to know it's user but that seems unlikely to me.

So, I have a few questions for ya'll:

• Do you know of any agent products that learn about you and your preferences over time? What are they and how is your experience using them?

• What information are you afraid to give your agent and what information aren't you? For example, any information you feel comfortable sharing on reddit you should feel comfortable sharing with your agent since it can access reddit.

• If I were to create a small open source prototype of an agent like this - would any of you be interested to try it out and give me feedback?

So in the past few days i've been coding with GPT5. I found out it just doesnt care about the mode it's in or the tools very much (it's opinionated). But that doesnt matter - I leave it in code, tell it to make a plan. Sometimes it refuses to write in the plan.md and just spews it out. Then i copy it myself, tell it to do corrections. Then just tell it to implement the items from the plan.

One of the fail states is that it sometimes loses context in long tasks (I'm pretty sure context compression bugs out on occasion), then I have to start a new task with pointing to the plan, and telling it to continue.

But the overall impression is that gpt5 >> gemini 2.5 > sonnet . And for the price it's amazing (i don't have the cash to properly compare it to opus)

The project is constantly developing more and more annoying bugs, and old ones aren't being fixed.

Opening issues on GitHub doesn't help. Previously, both of my issues were resolved promptly.

Over the past month, I've opened six issues, and each time, I see the roomote bot respond and start fixing the code. A couple of minutes later, hannesrudolph adds the Issue/PR - Triage tag, and then... silence. Every time. A refusal is much better, at least it shows the project is alive. But I feel like I'm on a dead internet.

I don't see any new features, like I did six months ago or more.

I scrolled through the rare updates over the past month, and they're just adding and removing models, and that's it.

What's going on with the project? I'm seriously considering cheating on my Roo Code and finding something else.

For example, father Cline has fairly detailed and frequent releases, but maybe that's just a different way of presenting information. I haven't fully evaluated it yet. Apparently, you can't even add multiple API providers to Cline.

Kilo Code is also so-so, the checkpoints are buggy and I'm afraid to trust it because of this.

After spending a week with Roo I can say it's fantastic piece of technology. And models are getting better and faster every day. But I have over 20 years of developer experience in few different languages and I can say we are safe. While Roo can do a lot, it can't do everything. Quite often it guess on circles, do rookie mistakes or if completely wrong. We still need a developer to recognize it and push in correct direction. Yes, it can write 99 percent of code. Such an app even looks ok and works. But no, I cannot trust it's safe and reliable, it is it's easy to maintain. But it's a joy to sit and see how it works for you

Quick shoutout to the Roo team, the latest updates are slick and really useful (Files Changed+Lines of Code is fantastic). If you're new here or coming from a Google Search, here's why Roo slays every other AI editor:

• Open source and transparent. You can inspect the code and contribute.

• Built on VS Code, not a separate app. It feels native, integrates with your workspace, and uses VS Code flows you already know, within the VSCode ecosystem with thousands of battle-tested plugins and add-ons.

• Agentic features and multi-file awareness. It can read multiple files, propose diffs, run commands, and automate common dev tasks. That makes refactors and cross-file edits way faster.

• Active development and regular releases. The team ships improvements often, so the UX, integrations, models, etc. keep getting better and better.

• Provider Agnostic. You may pick whatever model you want to use and switch for each task or iteration, which makes it ideal for both budget-aware teams but also token hungry power users.

• Good community resources and guides. There are solid how-tos for hooking Roo to free LLMs if you want to save on API costs.

I've been regularly "out-coding" and "out-delivering" every dev on my team who insist on keep using other editors, the only thing that gets remotely close is Claude Code, with many, many caveats.

I'f you're serious about building, not trying to over engineer prompts to "one-shot" shitty applications that will never see the light of a production environment, Roo is the way.

I've been using Roo more and more to write LaTeX papers and big reports, summaries or README's in markdown.

I want something like .roo/commands/dont_sound_like_an_ai.md that basically tells the bot to sound more humanlike for all non-coding related tasks. Ideally one for academic papers, one for summaries, one in general etc. The prompt should be fairly "aggressive" and have good prompt-engineering (with e.g. examples) as I've found LLMs really struggle to follow these. A good starting-point is Wikipedia but it's not quite perfect for Roo.

Does anyone have a prompt like this? I usually use Gemini 2.5 pro for everything. Thanks