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Question we get constantly: "How does Cline handle context limits in long-running tasks?" Here's how users can manage their context: /newtask: Creates a detailed handoff summary and starts fresh context. Like handing off work to a new engineer with full background. more 👇

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Cline

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21,739 görüntüleme • 11 ay önce •via X (Twitter)

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Cline profil fotoğrafı
Cline11 ay önce

/smol: Compacts your current conversation by removing redundant information while preserving the narrative.

Cline profil fotoğrafı
Cline11 ay önce

Behind the scenes, we use algorithmic context management that removes duplicate file reads while maintaining "narrative integrity."

Cline profil fotoğrafı
Cline11 ay önce

This means Cline won't re-read the same file multiple times, but it keeps the logical flow of how it discovered and used that information. Why does this matter?

Cline profil fotoğrafı
Cline11 ay önce

Long coding sessions often involve reading the same files repeatedly. Without smart context management, you'd hit limits fast. Our approach: Remove the redundancy, keep the reasoning.

Cline profil fotoğrafı
Cline11 ay önce

Users can also manually manage context by using /newtask at natural breakpoints - after completing a feature, before switching focus areas, or when approaching context limits. The key is maintaining the story of how Cline explored your codebase, not just what it found.

Cline profil fotoğrafı
Cline11 ay önce

Try Cline today 👇

KoZman (قزمان) profil fotoğrafı
KoZman (قزمان)11 ay önce

Combining this with Openmemory MCP made a huge difference

Sean Turing profil fotoğrafı
Sean Turing11 ay önce

Can we integrate usage of embeddings APIs? That would be god mode isnt it

Max Baines profil fotoğrafı
Max Baines11 ay önce

Oh 👀

Himanshu Kumar profil fotoğrafı
Himanshu Kumar11 ay önce

Interesting, could reframing long tasks as interconnected shorter ones improve context retention?

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Problem: AI coding performance dips when context windows exceed 50% Solution: Combine Cline's context window awareness with the `new_task` tool + .clinerules to create a workflow that autonomously hands off tasks before hitting limits, ensuring persistent memory. A guide: 🧵
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Problem: AI coding performance dips when context windows exceed 50% Solution: Combine Cline's context window awareness with the `new_task` tool + .clinerules to create a workflow that autonomously hands off tasks before hitting limits, ensuring persistent memory. A guide: 🧵

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This is pretty neat. You can write code with Cline, review it with CodeRabbit, and then handover the review context right back into Cline. (all in the same task)
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This is pretty neat. You can write code with Cline, review it with CodeRabbit, and then handover the review context right back into Cline. (all in the same task)

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Introducing Claude Code Hook - Context Timeline (Saving this to try later) Install with: npx claude-code-templates@latest --hook monitoring/context-timeline Managing the context window and the subagents running in Claude Code is hard to keep track of That's why I built this hook... It starts the moment you open a session and shows a timeline with the main agent's context window and how subagents start working in their own separate context Every subagent you have running will show up in real time This way you can manage the context and the subagents you run, and see everything in a much simpler way than in the console
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Introducing Claude Code Hook - Context Timeline (Saving this to try later) Install with: npx claude-code-templates@latest --hook monitoring/context-timeline Managing the context window and the subagents running in Claude Code is hard to keep track of That's why I built this hook... It starts the moment you open a session and shows a timeline with the main agent's context window and how subagents start working in their own separate context Every subagent you have running will show up in real time This way you can manage the context and the subagents you run, and see everything in a much simpler way than in the console

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51,228 görüntüleme • 1 ay önce

Deep research has arrived for Cline! With the Firecrawl MCP Plugin, Cline can complete deep research during your development process. Research open source libraries, documentation, and more to give Cline access to rich context. Install it in the MCP Marketplace today.
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Deep research has arrived for Cline! With the Firecrawl MCP Plugin, Cline can complete deep research during your development process. Research open source libraries, documentation, and more to give Cline access to rich context. Install it in the MCP Marketplace today.

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With the new memory system, you can review and steer what ChatGPT remembers through a memory summary, with more visibility and control over how context is used.
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With the new memory system, you can review and steer what ChatGPT remembers through a memory summary, with more visibility and control over how context is used.

OpenAI

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Devs are using Memory Bank as a project architecture and planning tool before they write any code. "I prefer starting in Cline, using Memory Bank to build out the context files as a roadmap, and letting Cline take the wheel." How to use Memory Bank for project planning 🧵
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Devs are using Memory Bank as a project architecture and planning tool before they write any code. "I prefer starting in Cline, using Memory Bank to build out the context files as a roadmap, and letting Cline take the wheel." How to use Memory Bank for project planning 🧵

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1/ The Model Context Protocol isn't just another dev tool - it's letting AI assistants break free from chat windows to directly manage your Git repos, run tests, and maintain project memory. Here's why MCP is a game-changer 🧵
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"Cline for Slides" We made a .clinerules file for making slides with Slidev -- now Cline can build your decks. Here's how we turned a YouTube video into a deck: 🧵
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"Cline for Slides" We made a .clinerules file for making slides with Slidev -- now Cline can build your decks. Here's how we turned a YouTube video into a deck: 🧵

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28,327 görüntüleme • 1 yıl önce

Highly underrated MCP server: YouTube Did you know you can basically feed Cline YouTube tutorials? Pull subtitles as context and watch it build what you're learning. In this example, we pulled down instructions from Matthew Berman building a crewAI orchestration ↓
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Highly underrated MCP server: YouTube Did you know you can basically feed Cline YouTube tutorials? Pull subtitles as context and watch it build what you're learning. In this example, we pulled down instructions from Matthew Berman building a crewAI orchestration ↓

Cline

35,938 görüntüleme • 1 yıl önce

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Cline

109,732 görüntüleme • 1 yıl önce

.OpenAI's GPT-5.1 is live in Cline. After testing the last several weeks, here's what we've found makes GPT-5.1 an exceptional model in Cline: GPT-5.1 is an obsessive researcher. It reads everything before writing anything. Where other models grab context and go, GPT-5.1 investigates thoroughly first, even for one-line changes. We found this overkill for simple tasks, and modified GPT-5.1's prompting resultantly, but a superpower when channeled right. Here's what you should expect from GPT-5.1 in Cline: > deep, systematic investigation before any edits > follows constraints religiously (specs, todo lists, your requirements) > maintains coherent reasoning with large contexts > delivers complete features with fewer corrections How we optimized Cline for GPT-5.1: 1. redesigned prompts for execution focus and stricter Plan/Act transitions 2. tightened tool specs, GPT-5.1 internalizes rules with just single examples 3. split /deep-planning investigation into two phases (read first, then search) Result: GPT-5.1 is a model that finishes what it starts, even across dozens of files and thousands of lines. Both GPT-5.1 (272K context) and GPT-5.1-codex (400K context) available now in Cline. $1.25/M input, $10/M output. Enable native tool calling in settings for best results. Use /deep-planning to see GPT-5.1 at its best. Full technical breakdown linked below.
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.OpenAI's GPT-5.1 is live in Cline. After testing the last several weeks, here's what we've found makes GPT-5.1 an exceptional model in Cline: GPT-5.1 is an obsessive researcher. It reads everything before writing anything. Where other models grab context and go, GPT-5.1 investigates thoroughly first, even for one-line changes. We found this overkill for simple tasks, and modified GPT-5.1's prompting resultantly, but a superpower when channeled right. Here's what you should expect from GPT-5.1 in Cline: > deep, systematic investigation before any edits > follows constraints religiously (specs, todo lists, your requirements) > maintains coherent reasoning with large contexts > delivers complete features with fewer corrections How we optimized Cline for GPT-5.1: 1. redesigned prompts for execution focus and stricter Plan/Act transitions 2. tightened tool specs, GPT-5.1 internalizes rules with just single examples 3. split /deep-planning investigation into two phases (read first, then search) Result: GPT-5.1 is a model that finishes what it starts, even across dozens of files and thousands of lines. Both GPT-5.1 (272K context) and GPT-5.1-codex (400K context) available now in Cline. $1.25/M input, $10/M output. Enable native tool calling in settings for best results. Use /deep-planning to see GPT-5.1 at its best. Full technical breakdown linked below.

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Robot AI brains, aka Vision-Language-Action models, cannot adapt to new tasks as easily as LLMs like Gemini, ChatGPT, or Grok. LLMs can adapt quickly with their in-context learning (ICL) capabilities. But can we inject ICL abilities into a pre-trained VLA like pi0? Yes! Introducing RICL (Retraining for In-Context Learning), our Conference on Robot Learning (CoRL) 2025 paper. Our RICL-pi0 model can adapt to unseen objects, novel motions, and new scenes with just ICL and RAG (retrieval-augmented generation). RICL-pi0 also boosts performance on the long-tail of tasks. A quick 1 minute video summary:

Kaustubh Sridhar

52,158 görüntüleme • 10 ay önce

shadow is an open-source background coding agent with a real-time interface and codebase context system here's a breakdown of how it works ⬇️
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shadow is an open-source background coding agent with a real-time interface and codebase context system here's a breakdown of how it works ⬇️

ishaan dey

21,582 görüntüleme • 10 ay önce

Here's the full context of our discussion of Randy Fine and how he can those like him can possibly be reconciled with "America First" politics:
6:40

Here's the full context of our discussion of Randy Fine and how he can those like him can possibly be reconciled with "America First" politics:

Glenn Greenwald

20,891 görüntüleme • 6 ay önce

Two commands in Cline can dramatically improve your development workflow while keeping token costs in check: /newtask and /smol. 🧵
1:14

Two commands in Cline can dramatically improve your development workflow while keeping token costs in check: /newtask and /smol. 🧵

Cline

17,487 görüntüleme • 1 yıl önce

LLMs need focus, because attention isn't enough. (thread on the Focus Chain, Cline's link to persistent context)
1:31

LLMs need focus, because attention isn't enough. (thread on the Focus Chain, Cline's link to persistent context)

Cline

26,570 görüntüleme • 10 ay önce

Basically the context of their skit was to demonstrate how no normal girl can handle Rakia like Sachika (bc he’s big, awkward, and intimidating) lmaoo
0:55

Basically the context of their skit was to demonstrate how no normal girl can handle Rakia like Sachika (bc he’s big, awkward, and intimidating) lmaoo

Ducky

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Tired of your AI assistant getting amnesia? Our community built something fascinating: 🧠 Memory Bank. It's like giving your AI a perfectly organized brain. Through custom instructions, Cline maintains a living documentation system that rebuilds context after every reset. The secret sauce? .clinerules - a learning journal where Cline captures patterns, preferences, and project intelligence. No more repeating yourself. Watch it remember everything across sessions👇
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Tired of your AI assistant getting amnesia? Our community built something fascinating: 🧠 Memory Bank. It's like giving your AI a perfectly organized brain. Through custom instructions, Cline maintains a living documentation system that rebuilds context after every reset. The secret sauce? .clinerules - a learning journal where Cline captures patterns, preferences, and project intelligence. No more repeating yourself. Watch it remember everything across sessions👇

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36,232 görüntüleme • 1 yıl önce

here's a bit more context
1:34

here's a bit more context

Aaron Rupar

39,648 görüntüleme • 28 gün önce