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Cline

@cline

We turn your inference into production code.

VS Code, JetBrains, the CLI Katılım Ocak 2025
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Cline
Cline@cline·
Introducing Cline CLI 2.0: An open-source AI coding agent that runs entirely in your terminal. Parallel agents, headless CI/CD pipelines, ACP support for any editor, and a completely redesigned developer experience. Minimax M2.5 and Kimi K2.5 are free to use for a limited time. From prompt to production. All in your terminal.
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Cline@cline·
Xiaomi just revealed that "Hunter Alpha" - the mystery model that topped OpenRouter's charts all week - is actually MiMo-V2-Pro. 1M context and 78.0 on SWE-bench (right next to Sonnet 4.6's 79.6) And we've partnered with the MiMo team to offer one week of free access in Cline!
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Cline@cline·
CoreWeave's infrastructure ensures your agent delivers sustained performance on the heaviest tasks - no hanging, no dropped context. Update your Cline CLI, plug in your W&B key, and get back to building. Come see it in action at CoreWeave's booth (#913) at GTC. coreweave.com/news/cline-sel…
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Cline@cline·
Cline is integrating W&B Inference, powered by CoreWeave's bare-metal infrastructure, directly into the Cline ecosystem. Cline has surpassed 5 million installations. A core tenet has always been open choice: your models, your IDE, your inference provider. This integration deepens that commitment.
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Cline@cline·
If anyone is looking for smaller conversations during RSAC week, we're hosting an off-the-record dinner discussing the emerging challenges around agentic software development and security. Small group, good food, candid discussion. luma.com/277tdqmr
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Cline@cline·
Runbooks don't enforce anything. That's the whole problem. .clinerules playbooks do. Same checklist, except now it actually runs. cline.bot/blog/prompts-a…
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Cline@cline·
Try it out in Cline today! Available on VS Code, JetBrains, and the terminal: npm i -g cline cline.bot
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Cline@cline·
GPT-5.4 also has a 1M context window, but their evals show that needle-in-a-haystack (MRCR v2) scores 97% at 16-32K tokens, drops to 57% at 256-512K, and just 36% at 512K-1M. So it's a good idea to compact regularly!
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Cline@cline·
OpenAI just dropped GPT-5.4 and we've been testing it in Cline all week. We noticed a jump in computer use and general knowledge, and the benchmarks back it up: OSWorld (computer use eval) went from 47.3% → 75.0%, surpassing human performance at 72.4%! 🧵
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Cline@cline·
Cline's ComfyUI MCP lets you build generative AI workflows from your code editor using natural language. Tonight we're cohosting a hands-on crash course in SF covering the fundamentals. Come through. luma.com/comfyui-crash-…
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Saoud Rizwan
Saoud Rizwan@sdrzn·
Anthropic CEO today: "This year will have a radical acceleration that surprises everyone. Exponentials catch people off guard. We are at the precipice of something incredible." I pulled together all of Anthropic's research papers and here's what the timeline looks like if the exponential holds: > 2026 Q2: AI does AI research. The feedback loop closes, and model releases accelerate noticeably. We'll see new models every few weeks (e.g. OpenAI tweeting "5.4 sooner than you Think.") > 2026 Q3: First AI-assisted drug discoveries enter clinical trials in record time. > 2026 Q4: Fully autonomous software engineering. The cost of building software is near zero, and we'll see a flood of new apps, tools, and services hit the market. Big tech companies will operate with dramatically smaller engineering teams. > 2027 Q1: Scientific breakthroughs in medicine and energy. The public starts to see tangible benefits amidst massive job disruption. We will feel an uncomfortable combination of intense optimism and anxiety. > 2027 Q2: Governance crisis as AI capabilities have outpaced regulation. ~3 companies hold unprecedented concentration of power, and public debate erupts over who controls these systems and what a functioning economy even looks like anymore. We'll see emergency legislation, expanded food/healthcare benefits, and universal basic income pilots. > 2027 Q3/Q4: The world is fundamentally different in ways that would seem science fiction today. Dario's "country of geniuses in a datacenter" is reading every research paper ever published, finding connections across biology, chemistry, physics, and mathematics in ways no human ever could. Dario has talked about this extensively, he thinks AI's biggest impact won't be in tech, but in biology and medicine. By this point AI systems can do 10-15 years of drug research & development in months. Not just one drug, but dozens simultaneously - cancer treatments, neurodegenerative diseases, rare genetic conditions that the pharma industry never bothered investing in before. AI-generated movies, music, games, and art become mainstream. Computational power is the new oil. The countries and companies that control the most advanced AI systems have leverage over everything: military strategy, economic policy, scientific output, intelligence gathering. The US-China AI race is at peak intensity. AI "arms control" gets discussed at the UN for the first time similar to nuclear nonproliferation. The alignment question becomes urgent. Dario argues that we have a very narrow window to get alignment right before the systems are too capable to course-correct. The systems either have robust human values baked in, or they don't, and the consequences of getting it wrong are no longer hypothetical. The exponential isn't some far-off sci-fi scenario. The world isn't moving linearly anymore and we are living in unprecedented times.
Apoorv Agrawal@apoorv03

Dario at MS TMT Conference today: On defense / DOW:"We really believe in defending America." Anthropic has been working with the national security community for 2 years. "We are the most lean forward." On AI acceleration:"We do not see hitting a wall. This year will have a radical acceleration that surprises everyone." Exponentials catch people off guard. "We are at the precipice of something incredible. We need to manage it the right way." On where markets are wrong:"It's already big and it will get 1 million times bigger." The underestimation of exponential growth is the key thing people need to understand. On revenue scale:Anthropic was at ~$100M run rate 2 years ago. Now at $19B run rate. On culture — Dario says he spends 40% of his time on it:"Anyone who is CEO of a growing firm needs to realize they are chief culture officer. My job is to make sure everyone is on same page and believes in what we are doing. That's the most important thing." He does a vision quest with the whole company every couple weeks. "I want them to hear it directly from me. If I tell the CTO, who tells the VP Eng, who tells the manager — that's too long of a game of telephone." "Politics and infighting are a cancer to companies as they grow." On talent retention vs Meta:"We lost 2 people to Meta. They lost several dozen. Normalized by size, they lost 10-20x more people vs us." Attributes this to unified culture generating "super linear returns — by working together vs working against each other." On code as the breakout use case:Code has "exceeded our high expectations." Why? Devs adopt fast, code is verifiable, and gains compound — you build software to build software. "Didn't realize it would go so fast even at traditional enterprises." Frustration is around regulated industries where legal/compliance slow things down. "That's how fast everything could be going if not for non-AI barriers." On Anthropic's own AI usage:Top internal use cases: 1) writing code, 2) the process around writing code (SWE), 3) managing servers and controlling clusters. "If we were paying ourselves for our usage, we'd be one of our largest customers." On Claude Code:"You can supervise an army of 100 Claudes. It's closely analogous to a management skill." The people who are best at it keep the big picture in their head. Higher return to finding people who can handle more complex tasks. On platform vs apps:"We are primarily a platform, but there are places where we have expertise to make something directly useful." Claude Code emerged as a tool they built for themselves — thousands of internal users before shipping it externally. "Code is a prelude for what we will see in everything else." On societal implications:"Human history — lots of muddling through. We found ourselves in this comedy of errors and figured it out eventually. It's happening so fast that we need to do better than that this time." The market will deliver positive benefits — "I see that as priced in." What's not priced in: the choices we make around externalities. Jobs, national security, ensuring the benefits reach everyone. On chips & compute:Anthropic uses multiple chip suppliers. "We find that actually using different chips is useful to us. Chips aren't just a speed number — we gain benefits from heterogeneity." Also standard business logic of having more than one supplier.

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Saoud Rizwan
Saoud Rizwan@sdrzn·
ok this is the new meta for fixing bugs. tell agent to log to a .log file on ur desktop or smthn with "multiple hypotheses". then repro the bug, say done, it reads the log file, finds the root cause or adds more logs, and fixes it. has not failed me once with gpt 5.3
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Juan Pa
Juan Pa@JuanPa·
sunny fridays we make music with Strudel + @cline CLI. livecoding beats in the terminal is honestly the best way to end the week
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Cline@cline·
Hosting a hackathon in SF today. Enterprise AI agents on Azure infrastructure. Unlimited cloud resources, build something real in one afternoon. luma.com/musa-labs-hack…
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Cline@cline·
We wrote up the exact process: how we set up the eval pipeline, the failure patterns we found, and the fixes that moved the needle. The method (hill climbing) works with any agent, not just Cline. Full guide: cline.gg/hill-climbing
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Cline@cline·
A potential partner asked for our benchmark numbers. At the time, benchmarks had us behind other agents. We spent a weekend fixing that: ran Cline against Terminal Bench's 89 real-world tasks, diagnosed every failure, and shipped fixes. 47% → 57%.
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Saoud Rizwan
Saoud Rizwan@sdrzn·
woohoo cline cli got a big spike this week! so proud of the team ❤️
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