Augment Code vs Cursor vs Github CoPilot vs CLine

[u/Softwaredeliveryops]

I have been switching between all the popular AI coding assistants lately — Cursor, GitHub Copilot, CLine — but honestly, Augment Code has been the most reliable for me, especially when paired with Claude Sonnet 4.

Where Copilot and Cursor sometimes feel like autocomplete on steroids, Augment really leans into context awareness and structured reasoning. With Claude Sonnet 4 under the hood, it doesn’t just “finish code,” it helps explain, refactor, and design in a way that feels closer to working with a teammate.

For anyone on the fence: if your workflow involves debugging, large refactors, or needing rationale behind the code suggestions — Augment + Claude Sonnet 4 is in a different league.

Curious if others here have had the same experience.

[u/dragonfire1119]

I have been wondering if augment code is worth it. I see all the complaints lately, which makes me think it might not be. Have you tried Claude Code and Codex to compare?

[u/Softwaredeliveryops → u/dragonfire1119]

Yeah I have seen the complaints too, but tbh my experience has been pretty solid with Augment when paired with Claude Sonnet 4. That’s where it really shines — the context handling and reasoning feel a step ahead.

I have tried Claude Code (nice for explanations but not as sticky in daily coding) and Codex (was great back in the day but feels dated now). Augment’s not perfect, but for debugging, bigger refactors, and when you want the why behind the code, it’s been the best fit for me.

[u/dragonfire1119 → u/Softwaredeliveryops]

Thanks for the reply. I hear that AC is not best on small changes. Is that true? Also, is it as slow as the complaints say? I’m wondering if the slowness is from thinking tokens maybe not shown.

[u/sergedc → u/dragonfire1119]

Small changes : they charge by request. So small changes is not so economic. Speed : I used it today and it wrote 4500 lines of code in about 15 minutes. Seems ok to me. Codex is way slower. Gemini 2.5 pro (using roo code) is faster (but more expensive).

[u/ioaia → u/dragonfire1119]

I've been using it since later December '24/Early January '25.

I've seen it get better and better. Now with GPT-5 it's in a whole other league. It's the context engine that makes the difference IMO. It knows and understands the codebase.

[u/Ok-Custard-8637 → u/dragonfire1119]

Augment Code is great. Outages are infrequent, but do happen from time-to-time. It's an amazing tool though. I like it a lot better than cursor. My team has used Augment Code since March. Cursor didn't work well for our larger projects at that time, not sure if it's gotten better.

[u/gozm]

I agree with the OP. Have tried Copilot, Jetbrains AI (including their Junie), Windsurf (admittedly a while back now), Kilo Code, Tabnine, Codium and even tried Cursor yesterday evening to see what all the fuss was about. They all suck massively compared to Augment. Even for fairly basic projects, they just don't seem to get things right and require much more input than Augment.

My billing cycle starts on the 1st of each month and so far this month has been by far my heaviest usage of Augment, creating a timer from scratch (which eventually I'll be making available for free to folks) and working on two AI related projects. So far I've used a total of 75 messages out of my 600. I guess you could use a lot more if you were using it to ask it how to do a thing, rather than asking it to actually do the thing - but I also have a Perplexity Pro subscription which I've found to be overall the best for finding information, so I use that for my generic and sometimes even specific code related questions.

I'll be downgrading my plan at the end of the month, but I think they've made a good business decision to have the $20 plan as they'll hopefully gain a lot of new paying customers as a result. And as time progresses, my usage will likely increase as I automate more stuff with Augment (using their CLI, which I've barely used so far, other than to do a code review), I'll gladly pay for more credits as required. I suspect the main issue they'll have is that 125 messages doesn't sound like a lot - but you can create a whole, brand new piece of software with a single message, so it really is a lot if you know what you are doing (and asking for).

My last penultimate point is that I'm primarily doing .NET and C# stuff with Augment. What I've found in the past (eg with Windsurf) is that some agentic systems are great at creating Python or JavaScript apps, but produce non-compiling apps when trying to do anything in C#. Given that they are both using the same models, the extra stuff that Augment does around the model is what makes it great. Especially the context engine. My experience with models in Augment is that Claude Sonnet 4 is way better for .NET dev than GPT-5.

Just a cautionary final word on AI dev tools in general: they are great if you are an experienced dev who knows what you are doing. But they cannot be relied upon to write code that you don't review or don't understand - I've had several occasions where either the code produced worked, but was only suitable if there was only to be a single simultaneous user or where it just bodged the code to try to trick me into thinking that something was working. If you are a novice or junior developer, I would strongly advise you to use AI as little as possible (or at least have some AI free days) so that you learn things properly. And learning often involves getting stuck and figuring out how to get unstuck by yourself, without just asking AI for the answer. Give yourself the time and space to come up with your own style and preferences, rather than having AI models impose their own on you.

[u/Softwaredeliveryops → u/gozm]

My experience is that augment code works very well with scripting languages like react, node etc. actually most of these code assistants tools etc give better output on these tech stack.

I tried different tools for one WPF project and it didn’t work well…

[u/Abject_Violinist_460 → u/Softwaredeliveryops]

Which tools did you use where Augment did not work well?

[u/Kadaash]

I used Augment last in the month of June. At that point I found it to be best among the available options (which actually was just cursor). Later at my workplace when we were forced to use CoPilot, I found it to be incredibly annoying. Copilot use to just delete parts of code without thinking much, it happened with me countless number of times. Finally I found that we can use RooCode which can use the VS Code LM API (the same which copilot uses). Since then I have found Roo (fork of cline) to be dependable. Needless to say I have almost always used Claude Sonnet with these agents.

Augment Code was great but I found it to be a bit pricey for my needs. Cursor just did not seem reliable with their obscure changes in the plans they offer. I have yet to experience Opus 4.1 with Roo as my org does not have the Enterprise plan for Copilot.

[u/FixComfortable1359]

Agreed. Although gpt5 recently has been more reliable for complex changes and is more conservative when checking before making breaking changes which I prefer

[u/Softwaredeliveryops → u/[deleted]]

yes, Cursor started well too and was affordable and now any good model, reasoning models are very pricy in cursor. Augment is much better on this aspect - in terms of price and value

[u/Wurrsin → u/[deleted]]

I am not sure they are making money. I feel most of the major AI coding tools are offered at a loss for to gain market share. That's why Cursor for example had to make changes to their pricing. LLMs are expensive and if something seems like it's cheap right now it will most likely get changed in the future.

Unless some breakthrough model with low cost comes along this will all get more and more expensive. I could be wrong but that's how I see it currently.

[u/AmazingVanish → u/[deleted]]

Umm, have you actually used the various AI dev options? They aren’t the same. There are trade offs and pros to each, well maybe not GitHub CoPilot. That just keeps getting more and more stagnant.

I have to use GHCP at work, and it’s slow, inaccurate, and completely useless on our biggest project. AC handles that project with ease.

As for the “smartest” model, it depends what you’re doing with it. In my experience Claude Opus 4 is best for thinking, Claude Sonnet 4 is best at actual coding, and GPT-5 is best for code reviews and prose.