I've found Continue extension for VS Code to be the most seamless for my budget. Just sharing my experience: so basically I've spent years jumping between editors, but I'm still kinda new to this whole 'bring your own key' thing. I was literally burning money on Claude 3.5 Sonnet before I realized how cheap DeepSeek-V3 API is. It's been a total game changer for my wallet!!

- Continue extension for VS Code: This was my first go-to. It's great cuz it handles both autocomplete and chat in one place. But yeah, I did notice some latency with the inline suggestions sometimes.
- Roo Code VS Code extension: I tried this for complex stuff. It's highkey better at following instructions for big refactors, tho the interface felt a bit overwhelming at first... I'm still learning it.

Anyway, both are decent options, just depends on how much you wanna tinker. Does anyone know if there's a way to fix the formatting lag though?? gl!

For your situation, I've spent way too much time testing this lately, so I totally feel u on being overwhelmed. Basically, DeepSeek-V3 is the GOAT right now for budget coding, but youre right—the extension choice literally makes or breaks the flow.

The thing is, most generic extensions dont handle DeepSeeks specific "Fill-In-the-Middle" (FIM) logic well. That’s why your autocomplete might feel laggy or give weird formatting sometimes. To get that snappy, low-latency feel, you need an extension that lets you properly tweak the provider settings for the DeepSeek API.

Here’s what I recommend based on my own setup:

* Continue extension for VS Code: This is my daily driver for that seamless "Copilot" feel. It’s super stable and the side-panel chat is actually useful for complex refactoring tasks. You just plug in your API key in the config and it's good to go. The tab-autocomplete is highkey the best I've found for DeepSeek.
* Roo Code extension: If you want more "agentic" power—like letting the AI actually run terminal commands, read your whole workspace, or edit multiple files—Roo Code is insane. It uses DeepSeeks reasoning strengths way better than most.

Honestly, I'd start with Continue. It’s less "fiddly" and the latency stays low if you use their official provider. I've been sooo happy with the switch from Claude—saving a ton of money and the code quality is basically the same. gl with the setup! 👍

Interested in this too

+1

So I have been daily driving DeepSeek for a few months now, even before the V3 hype really exploded, and honestly its been a journey trying to get my flow perfect. I have realized that while the extension choice is a big deal, the way it handles the technical stuff under the hood like token caching is what actually keeps things from getting laggy.

• Cheaper tokens are great but context management is everything
• Some tools get realy slow once your chat history gets long
• Formatting issues usually come down to how the extension handles the system prompt But before I go into what eventually worked for me, I wanted to ask a few things to see if our situations are similar. Are you working on massive enterprise repos or just smaller personal apps? Also, do you need the AI to actually index your whole project or just the file youre in? Knowing those details would help because the one I got works amazing for my specific repo size, but I had a wierd experience trying to use it on a huge legacy project at work last month.

Yep, this is the way

Wait really?? Thats actually super helpful. I always thought it was the other way around.

Just catching up on this thread and honestly, I spent way too much time fighting with lag last week while trying to get my flow right. It was a bit of a nightmare at first because I didnt realize how much the connection settings actually impact the speed.

• I started with a setup that seemed fine for small files, but as soon as I opened a large project, the latency became unbearable. I learned the hard way that some tools arent optimized for how this specific model handles large chunks of code.
• Be careful with the autocomplete settings in whatever you choose. I had one instance where it kept trying to overwrite my imports every time I paused for a second, which totally broke my build. You might want to consider looking into how to limit the context window so it doesnt get overwhelmed.
• I found a really useful guide on a developer blog about optimizing local proxies for API calls. Implementing a small local buffer helped me reduce the stuttering I was seeing during complex refactoring tasks.
• Make sure to double check your temperature settings too. I had mine set too high initially and the model started making up functions that didn't exist in my codebase... kind of a mess to clean up.

Can vouch for this

@Reply #9 - good point! Just found this thread and honestly, ive tried many extensions over the years. Staying cautious with your setup is key tho. I have had my share of extensions that basically bricked my IDE or leaked memory like crazy, so stability is my top priority over flashier features. In my experience, if you want that seamless Copilot feel with DeepSeek-V3 without constant re-configuration, there are really only two serious contenders right now:

• Continue VS Code Extension
• This is my daily driver. Its super reliable for splitting the chat and the autocomplete. Setting it up with my DeepSeek key was easy and it hasnt let me down since.
• Cline VS Code Extension
• Great if you need the AI to actually edit files and run terminal commands. Its a bit more complex, but the integration with DeepSeek is solid. Honestly, just stick with Continue VS Code Extension if you want it to feel like a polished product. It handles the FIM logic for autocomplete way better than the generic ones I tried earlier this year. It just works. Its just safer.