r/CLine

Hi everyone, As mentioned in the title, I’m planning to get a premium subscription.

I’m genuinely confused about which one to choose. All of them have their merits, and I’d appreciate any insights from those who’ve used either (or both) in the long run.

Thanks in advance!

https://preview.redd.it/r3z4ccphsi1h1.png?width=1228&format=png&auto=webp&s=4829db6d17edc0843e850045612346e6a99553f2

https://cline.bot/blog/introducing-cline-sdk-the-upgraded-agent-runtime

grok-code-fast-1 by x-ai was my favourite agent, but now (May 16 2026) - it's inaccessible in CLine? What happens? Can anyone explain me what's going on?

1. Plan Mode is for planning but something has changed in the system prompt where it aggresively requests permissions to perform tool calls while the planning is still in progress. I already explicitly set Auto-approve all disabled. This new version, I'm fighting dialogs instead of the agent quietly acknowledging that it's in plan mode and that there should be no actions taken until the User allows it.
2. Search is noisy. Trying to attach a file is showing a whole bunch files I don't care about. The old version before this TUI overhaul was a lot better.
3. Light mode colors are painful (MacOS). This bright teal and yellow is harder on the eyes when reviewing the text. The previous version was subjectively easier, using colors but more sparingly.

Edit: Back to pre 3.0.0 days

npm install -g cline@2.18.0

I am trying to use DeepSeek v4 pro through OpenAI compatible api i Cline, since the DeepSeek interface lists only old models only.

However, no matter which temperature I set it loops in thinking and researching files over and over again with out execution. It works on plan mode but loops on Act mode.

Anyone had better experience?

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Hey,

I'm running Cline with DeepSeek V4 Pro (direct API, OpenAI Compatible provider) and I'm getting a weird behavior on complex tasks that I can't fully explain.

What happens:

1. Cline starts the task and generates a huge amount of reasoning tokens (lots of `...` scrolling for a while)

2. After some time, Cline stops and displays a message suggesting I switch to an Anthropic model like Opus 4 for complex tasks

3. If I click "Proceed anyway", it feels like the model restarts its reasoning from scratch — as if the accumulated context is lost or ignored — creating a kind of loop

My questions:

- Is this a known issue related to `reasoning_content` not being properly passed back by Cline between turns?

- Does "Proceed anyway" clear the reasoning context, or does it just dismiss the warning?

- Has anyone found a workaround? (disabling thinking mode? going through OpenRouter?)

- Is the Opus 4 suggestion message hardcoded in Cline or dynamic based on token count?

My current setup:

- Cline (latest version)

- Provider: OpenAI Compatible

- Base URL: https://api.deepseek.com

- Model: deepseek-v4-pro

Thanks in advance

Guys, I’m trying to understand something about Cline.

When I use GLM 5.1 in Cline, I sometimes receive an error or a recommendation suggesting that I should use Claude instead. It gives me the option to ignore the warning, but I want to understand what it actually means.

Does this mean the model is not strong enough for the task, or could there be an issue with Cline itself?

I’m asking because I never received messages like this in Roo Code, even on heavy tasks. I’m new to Cline and recently switched from Roo Code, so I’m trying to understand how it works.

Thanks for your help.

I’m evaluating an on-prem coding-agent setup to optimize Claude/GPT SaaS/API spend.

Hardware target: 4×RTX 3090, 96GB total VRAM, Linux, likely vLLM or SGLang exposing an OpenAI-compatible endpoint.

Tools: Cline and OpenHands.

Questions:

1. Is Qwen3-Coder-30B-A3B enough as a daily driver, or is it underusing the hardware?
2. Has anyone run Qwen3-Coder-Next 80B-A3B, Llama/Qwen 70B-class, or similar models on 4×3090 for coding agents?
3. What quantization actually works well for tool-use and long-horizon coding tasks: FP8, AWQ, GPTQ, Q8, Q4?
4. What context length is realistic before throughput collapses?
5. Has this meaningfully reduced your Claude/OpenAI spend, or do you still need cloud fallback for hard tasks?

I’m especially interested in real-world results: tokens/s, accepted PRs/tasks, failure modes, model configs, and whether OpenHands/Cline behave reliably with local endpoints.

Will cline add orchestrator mode and other modes that are in roocode ?

More Details on attached link (github issue)

Looks like this is fixed on the nightly branch (works when we install the nightly ext. instead).

Anyone else having the similar experience?

it's wild how fast this generates code. like genuinely impressive turnaround on most problems.

but I keep running into the same pattern. the code generation solves the first 30 percent of the work. the rest is integration, testing, deployment, monitoring. all the stuff that doesn't get faster when your code generation gets faster.

I've been thinking about this a lot lately because I got burned by it. had a project where I was generating features really rapidly and feeling productive and then deployment turned into this weeks long slog of manual steps and uncertainty.

the thing I didn't account for was that faster feature generation just means your infrastructure needs to be more solid, not less. you need more automation, not less.

so I went back and actually built the supporting infrastructure. automated testing, automated deployments, proper monitoring. boring stuff. but now when I generate new features it's actually safe to ship them.

the speed part is solved. the reliability part is what matters.