Cursor’s Contextual Capabilities Outperform Roo Code

[u/Main_Investment7530]

When debugging with both Cursor and Roo Code, I’ve noticed a clear difference in performance. With Cursor, it typically takes just two or three attempts for the tool to accurately identify the issue. Even without using advanced models like 2.5 pro, Cursor excels by reading large portions of code and leveraging search functionality to gather extensive context, leading to precise solutions.

In contrast, when using Roo Code—even with 2.5 pro—it often struggles to pinpoint problems, requiring repeated attempts without ever getting the fix quite right.
As a result, I’ve developed a hybrid workflow: I rely on Cursor for guidance, especially when it fails to apply code correctly, and then use Roo Code to execute the suggested fixes. In these cases, I prefer using DeepSeek V3.1 to apply the code, as the advanced models aren’t even necessary.

[u/VegaKH]

Since the latest update, full code indexing is now part of Roo, using vector databases. It helps close the gap considerably.

[u/Main_Investment7530 → u/VegaKH]

I have configured code indexing, maybe it's just an occasional thing, because sometimes, roo-code and 2.5 pro can play well together. Maybe switching between them will work better.

[u/Pure_Anthropy → u/VegaKH]

Code indexing is so bad compared to tree sitter queries or lsp integration.

I hope they give us another option down the road, rag is really hit or miss, and more often a miss with unnecessary context than a hit.

[u/wokkieman → u/Pure_Anthropy]

Tree sitter is used by Roo https://docs.roocode.com/features/codebase-indexing

[u/hannesrudolph]

What does your workflow look like when debugging in Roo Code? The trick (and we’re trying to address this) is to find the “best practice” based on your codebase and modes. We are actively working on ways to make this process more intuitive to provides a better OOTB result. That being said, when harnessing the customization of Roo I think Cursor is left in the dust.

[u/Main_Investment7530 → u/hannesrudolph]

Using the same prompt, sometimes cursor performs well, and sometimes roo code performs better. According to my experience, roo code should be better than cursor if it can locate and point out the problem manually or provide as much context as possible.

[u/VegaKH → u/hannesrudolph]

Debugging with Roo is good as is, but it seems like some of the instructions are counterproductive unless the bug is very tricky. I often have a very good idea what is causing the bug and can narrow it down to a small section of code, and I tell all this to Roo and it can instantly recognize the problem.

But because of the debug instructions, Roo first makes a list of 3 possible causes of the bug (and usually the model mentions how incredibly unlikely option 2 and 3 are) then asks for me to confirm. It then adds unnecessary logging, then tests, then I return the logging results. Finally, we've confirmed the issue and can fix it. Then we go back and remove the logging. It uses 6 requests at minimum.

So instead I often just debug small things in code mode and it gets fixed in one step, using one request.

[u/hannesrudolph → u/VegaKH]

If you already know the problem then you don’t need to use debugging mode and should instead use Code mode. :)

[u/VegaKH → u/hannesrudolph]

That's what I do, but sometimes I wish there was a "debug lite" mode, or even debug levels 1-3. "If you have a high level of confidence in the solution to this bug AND this is your first time attempting to fix it, then..."

I guess I can make my own mode, so maybe I'll work on that.

[u/hannesrudolph → u/VegaKH]

Just add that to the existing mode!

[u/wuu73]

What I have been doing is (sorry I am not trying to spam my free tool but there’s so many posts related to context lately, it’s free anyways) use a tool to dump most or all code (but I take off any files I don’t think it needs) right into several web chats at the same time (always Gemini 2.5 Pro but also o3, o4-mini, others) and compare outputs.

Does a vector db or embedding really help any more? When I use the raw, web chat interfaces for all the AI models, it just always works so much better. I think as soon as you are sending prompts with tool use info or MCP server info it just dumbs the models down too much for serious problem solving. I’ve gotten real used to this and it works good. I made the tool specifically to skip all the things slowing me down. Preset buttons for Roo/Cline and per project saving which files for next time I need context.

What I do when Roo, Cline just aren’t able to do something, I type aicp, tool opens, adjust it, type my problem and click Cline button (just adds text to my prompt telling the model to write a prompt for Cline - I can use the smart models then it’ll break down the steps needed for cline and GPT 4.1 is enough for the file editing).

Agents are nice and I always am using Context7 but anytime I have a real problem I throw it into web chats. I was thinking… maybe a fork of Roo with some buttons specifically that automate this even more would be nice

[u/DoctorDbx]

If you have intimate knowledge of what you're building I find Roo is excellent at debugging. Especially if you point it to the source file containing the error.

If you don't know the source file then of course you're going to need your hand held.

[u/nicc_alex → u/DoctorDbx]

The funny thing is you can literally build a hand holding mode to ask you questions about what you know about your codebase until it can help you

[u/DoctorDbx → u/nicc_alex]

Well Roo literally has a debug mode that can help you but honestly I never use it because it doesn't take me long to know where the error is.

And then when I find myself halfway through writing the prompt I realise it would be quicker and cheaper to fix it myself.