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You just generated a brilliant idea. Now what? 🤔 Don't ship blind. Validate first: 1. Search KODE for similar AI projects (GitHub GitLab) 2. Check last commit, stars trajectory, OS support 3. Verify binaries before you fork or download 4. Hit RND if you need inspiration, not iteration All in one terminal-style UI. Zero fluff. From prompt to production → kode.market Effortlessly search for: Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Hermes Agent, Lovable, Manus, NotionAI, Orchids, Perplexity, Qoder, Replit, Trae, Traycer AI, VSCode Agent, Windsurf, Xcode, and other Open Sourced System Prompts, Internal Tools & AI Models
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marcelle retweeted
🎁 แจกโค้ดเครดิตฟรี CodeBuddy! 🚀 ทำแค่ 3 ขั้นตอน ✅ Follow ✅ Like ✅ Repost ไม่ต้องจับรางวัล รับ 100฿ bn9.one Credits ค้นหา Google: bn9.one #bn9one #CodeBuddy #เครดิตฟรี #แจกโค้ด
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💎 Found via Random: System Prompts & models of AI tools 🤖FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Lovable, Manus, NotionAI, Orchids, Perplexity, Poke, Qoder, Replit, Trae, Traycer AI, VSCode Agent, Windsurf, Xcode, and other Open Sourced System Prompts, Internal Tools & AI Models ⭐ Stars: 140k 👇kode.market/#/app/gh-9433989… 🎲 Hit RND → pull a random repo from GitHub/GitLab. Discover hidden gems.
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对 Trae 真的是又爱又恨, 喜欢 Trae 的 UI,和 Agent 的使用方式。但是有时候真的很无语。。。 这个 Extension 不明白为什么过滤。。。 #吐槽 #Trae #CodeBuddy #AI工具
我发现字节的 Trae 的 Extension 居然和 VSCode 的不完全一样😲 搜一个插件 VSCode 和 CodeBuddy 都能搜到,但是 Trae 搜索不到🥲,就很奇葩 大家都是 VSCode 套壳,怎么你就这么与众不同🙄
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我发现字节的 Trae 的 Extension 居然和 VSCode 的不完全一样😲 搜一个插件 VSCode 和 CodeBuddy 都能搜到,但是 Trae 搜索不到🥲,就很奇葩 大家都是 VSCode 套壳,怎么你就这么与众不同🙄
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오늘자 AI 시장 판도 뒤흔드는 소식 몇 개 가져왔습니다. DeepSeek V4의 추론 비용이 이전 V3.2 대비 무려 73%나 저렴해졌다고 하네요. 화웨이 Ascend 950PR 칩에 맞춘 자체 알고리즘 덕분이라는데 단가 깎는 기술력이 진짜 무쳤습니다. 캐시 히트 기준 백만 토큰당 0.025위안으로 약 0.0035달러인데, GPT 5.5 롱컨텍스트 버전의 만 오천분의 일 수준에 불과합니다. 이러니 Claude Sonnet 쓰면서 한 달에 500달러씩 태우던 팀이 DeepSeek로 바꾸고 50달러만 낸다는 소리가 나오는 것 같네요. 반면 다른 빅테크들은 오히려 가격을 올리는 추세입니다. Zhipu는 2026년에 API 가격을 세 번이나 각각 30% 이상 올렸고, Tencent Cloud의 CodeBuddy 기업용 에디션은 154%나 폭등했습니다. Alibaba Cloud 역시 지난 3월 AI 컴퓨팅과 스토리지 가격을 5%에서 34%까지 인상했고, 15초짜리 비디오 생성 비용은 0.65위안에서 5위안으로 6.7배나 치솟았다고 하네요. 결국 두 진영의 전략이 완전히 갈리는 셈인데, DeepSeek는 압도적인 가성비로 개발자 생태계를 락인하려는 거고, 기존 대기업들은 CodeBuddy나 WorkBuddy 같은 통합 툴의 이탈 장벽을 믿고 가격을 올리는 완전 정반대의 베팅을 하고 있네요. 바이브 코딩하는 입장에서 가격 싸지는 건 늘 반갑지만 시장이 어떻게 흘러갈지 흥미진진합니다.
DeepSeek-V4 inference cost is down 73% vs V3.2, thanks to a self-developed algorithm adapted to Huawei Ascend 950PR chips. Cache-hit price now sits at 0.025 RMB per million tokens (~$0.0035) (roughly 1/14960 of GPT-5.5 long-context version). The result: a dev team that spent $500/month on Claude Sonnet now pays $50/month using DeepSeek. Meanwhile, Zhipu raised API prices three times in 2026, each 30% . Tencent Cloud CodeBuddy enterprise edition up 154%. Alibaba Cloud raised AI compute/storage 5-34% in March. Video generation costs per 15-second clip have risen from 0.65 RMB to 5 RMB (~$0.09 to ~$0.69) (6.7x). These two strategies reflect opposite bets on value capture: DeepSeek builds a developer ecosystem through cost engineering, hoping to lock in workflows before competitors catch up on domestic chip optimization. Enterprise vendors raise prices, betting that integrated tool suites (CodeBuddy, WorkBuddy) create enough switching costs to retain customers. DeepSeek's cost lead may close in 2-3 months as competitors optimize domestic stacks. That makes the current advantage a window, not a moat. Enterprise price increases carry their own risk: Doubao MAU declined ~6.1M after price hikes, suggesting low tolerance among Chinese users. Which bet holds: a developer ecosystem built on a ticking clock, or an enterprise suite facing churn on every price update?
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Please don't speak for us when you in fact don't know enough info. There are actually numerous similar indigenous Chinese products better than Claude. For example, Tencent CodeBuddy and WorkBuddy, Alibaba QoderWork. Not commonly known outside of China. They don't advertise much
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🤖 [Tencent Launches WorkBuddy] Tencent enters AI office war: CodeBuddy, WorkBuddy, Managed Agents. When AI lowers frontend barriers, agent gateways are the prize. #Tencent #AI
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DeepSeek-V4 inference cost is down 73% vs V3.2, thanks to a self-developed algorithm adapted to Huawei Ascend 950PR chips. Cache-hit price now sits at 0.025 RMB per million tokens (~$0.0035) (roughly 1/14960 of GPT-5.5 long-context version). The result: a dev team that spent $500/month on Claude Sonnet now pays $50/month using DeepSeek. Meanwhile, Zhipu raised API prices three times in 2026, each 30% . Tencent Cloud CodeBuddy enterprise edition up 154%. Alibaba Cloud raised AI compute/storage 5-34% in March. Video generation costs per 15-second clip have risen from 0.65 RMB to 5 RMB (~$0.09 to ~$0.69) (6.7x). These two strategies reflect opposite bets on value capture: DeepSeek builds a developer ecosystem through cost engineering, hoping to lock in workflows before competitors catch up on domestic chip optimization. Enterprise vendors raise prices, betting that integrated tool suites (CodeBuddy, WorkBuddy) create enough switching costs to retain customers. DeepSeek's cost lead may close in 2-3 months as competitors optimize domestic stacks. That makes the current advantage a window, not a moat. Enterprise price increases carry their own risk: Doubao MAU declined ~6.1M after price hikes, suggesting low tolerance among Chinese users. Which bet holds: a developer ecosystem built on a ticking clock, or an enterprise suite facing churn on every price update?
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Replying to @gloridust1024
除了cc和codex我一般是反重力,以及你用的trae、codebuddy这类的intl版本
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🚀 From idea to live app in minutes! CodeBuddy IDE now integrates with Tencent Cloud Lighthouse for one-click deployment. ✨ AI-powered code gen ⚡ Instant cloud deployment 🔧 Zero config required Tutorial: tencentcloud.com/techpedia/1… #CodeBuddy #TencentCloud #AIDevelopment

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让我们重新把目光看向东方 国产 CLI 产品推友横评: iFlow(已挂) Qwen CLI 和 Qoder 的评价较好 Kimi Code 有行业数据库加持 GLM(好像没有 CLI) Trae CLI Codebuddy code 美团CatPaw IDE
让我们把目光看向东方 目前国内 Coding Agent (CLI): Kimi Code Trae CLI Qwen Code Codebuddy CLI iFlow CLI 大家平时用哪个比较多?
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googoo retweeted
让我们把目光看向东方 目前国内 Coding Agent (CLI): Kimi Code Trae CLI Qwen Code Codebuddy CLI iFlow CLI 大家平时用哪个比较多?
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StuckInThe90'sBaby 🇨🇦 🇰🇪 retweeted
🚀 The creativity at the @tencentcloud Hackathon was next level. Some of our favorite projects built with Codebuddy AI: 🎮 Wage Dog vs. The Li Ka-shing Force Field — a hilarious Hong Kong typhoon survival game 🚇 MTR Mayhem — survive rush hour chaos in a platformer set in Hong Kong’s subway system 🐝 Beehive Agents — AI bee agents collaborating to build an intergalactic civilization 📈 Paper Desk — a one-person investment bank powered by multiple AI agents 🤖 Technically Correct — a prompt-engineering puzzle game featuring an overly literal AI 🏝️ Stress Escaper — a cozy game inspired by slowing down on Peng Chau Amazing to see what builders can create in just a hackathon weekend. 🔥 #AIBuilders #tencentcloudhackathon #codebuddy #AI #GameDev #Hackathon
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Replying to @Jackywine
codebuddy code
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🚀 Heading to @superai_conf SuperAI in Singapore? Stop by the Tencent Cloud booth to discover Tencent Cloud’s latest AI innovations! Let’s connect and discuss how you can build deploy, and scale AI efficiently and responsibly! Explore 10 AI solutions across personal and enterprise-ready AI agents to AI-powered infrastructure by Tencent: 💡#Miora: An agentic creative studio with persistent memory — coordinating a network of creative Specialists and Skills to turn one brief into a complete, on-brand creative system across image, video, 3D, and UI. 💡#ClawPro: Enterprise AI Agent management platform that securely governs, orchestrates and scales agents across your business systems 💡#WorkBuddy: An AI agent workspace that helps users take on complex office work, from data analysis to content creation, turning a single instruction into a complete, ready-to-use deliverable 💡#CodeBuddy: An AI coding assistant that helps engineers plan, write, and deploy code using natural language prompts 💡#Lighthouse for AI Agents: Deploy OpenClaw and Hermes in minutes with lightweight, always-on cloud infrastructure 💡#TokenHub: one-stop enterprise-grade MaaS platform. One unified access, endless AI possibilities - fuel your applications with the world’s best models at maximum cost-efficiency. 💡#AgentDevelopmentPlatform (ADP): Build with natural language, retrieve with grounded confidence, govern with complete auditability 💡#PalmAI: Industry-leading Palm-based Identity verification with precision, accuracy and speed 💡#TencentRTC: High-performance real-time communication infrastructure powering global voice, video, and conversational AI across 200 countries 💡#WAND: Advanced AI video generation and creative tools designed for high-quality, and optimize content production workflows 💡#EdgeOne: EdgeOne’s full-stack edge development platform rebrands as Makers, now with native Agent hosting to help developers build, deploy and launch production-grade AI Agents rapidly. Booster delivers millisecond low-latency edge AI inference.
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最近2天AI圈:海外冲IPO,中国卷智能体 过去两天,AI 行业没有出现“炸裂级新模型”,但信息密度很高。核心变化是:海外 AI 公司加速资本化,中国 AI 厂商加速产品化和智能体基础设施落地。 AI 的竞争,正在从模型参数、榜单和 Demo,转向上市、商业化、企业交付、云基础设施、C 端入口和真实业务场景。 海外:AI 公司开始接受资本市场检验 最重磅的是 OpenAI 被曝已秘密提交美国 IPO 文件。如果推进顺利,这可能成为 AI 行业最受关注的上市事件之一。它的意义不只是“OpenAI 要上市”,而是基础模型公司终于要从一级市场融资叙事,走向公开市场审视。 公开市场会更现实地追问:商业模式是否稳定?算力成本能否下降?亏损周期有多长?企业客户愿意持续付费吗?模型领先能保持多久? Perplexity CEO 也表示,公司计划在 2028 年 IPO。这说明 AI 搜索仍有独立想象空间。Perplexity 要证明的,不只是“能用大模型回答问题”,而是能否成为新的信息入口。 苹果则在 WWDC 发布全新 Siri AI,试图把 Siri 从传统语音助手升级为生成式 AI 助手,并深度整合进 iPhone、iPad、Mac、Apple Watch、Vision Pro 等设备。短期看是补课,长期看是端侧 AI 入口战升级。AI 助手不一定只比模型最强,也比谁离用户最近。 ChatGPT 最近的体验更新,包括图表、目录、全屏写作体验、附件消息编辑等,说明它正在从“聊天工具”继续进化为“工作台”。这些细节决定 AI 是否能真正融入写作、分析、阅读、制表和办公流程。 此外,英国计划在刑事法院试点 AI 法律助手,用于案件积压处理、听证聚类等,但律师界也担心 AI 不能替代资金、人力和专业判断。这提醒我们:AI 进入法律、政务、金融、医疗等高风险场景时,核心不是简单自动化,而是可审计、可复核、可追责。 企业 AI 也在走向规模化。Accenture 与 CMU SEI 发布 AI 采用成熟度模型,NTT DATA 与 Google Cloud 扩大合作、推进企业 AI agents,都说明企业客户不再只想做 Demo,而是开始关心 ROI、流程改造、数据安全、权限管理和长期运维。 中国区:产品化和智能体基础设施加速 相比海外的关键词“IPO、资本市场、苹果入口”,中国区更明显的关键词是:智能体、云平台、企业落地、C 端 AI 助手。 华为云近期推出 Agentic AI 系列产品,包括 Agentic Infra、模型训练与推理平台、企业级智能体平台等,目标是帮助企业构建、运行和管理 AI Agent。企业真正落地 Agent,难点不只是模型会聊天,而是记忆、权限、调度、成本、安全、审计和多 Agent 协同。 华为云 Stack 也在强调“混合云 Data AI”,面向政企客户,把行业知识、业务流程和 AI 能力结合起来。这类产品不一定在 C 端刷屏,但对政务、金融、制造、能源、运营商等行业很关键,因为这些客户通常数据敏感、流程复杂,也不可能完全依赖公有云。 阿里千问 / Qwen 产品线继续扩张,覆盖通用大模型、代码、视觉理解、全模态和图像生成。阿里的打法是组合拳:C 端做千问 App,B 端通过阿里云百炼服务企业,同时依靠 Qwen 模型家族和开源生态争夺开发者心智。 阿里云 618 AI 加速季,本质上也是在抢开发者入口。免费 tokens、Agent 模板、模型体验和平台权益,都是为了让更多 AI 应用未来跑在自己的云和模型生态上。 腾讯云则继续发力企业级智能体,CodeBuddy、WorkBuddy 等产品面向开发、办公和企业生产力场景;元宝仍是腾讯重点投入的 C 端 AI 产品。腾讯最大的变量依然是微信生态:如果 AI 能真正进入微信工作流和社交入口,分发能力会非常强。 百度文心 5.1 持续强化搜索、知识、Agent、推理和深度搜索能力。百度的优势不在社交或电商,而在搜索、知识、地图、健康和企业服务。如果 AI 搜索与信息任务继续升温,百度的机会在于把“搜索”升级为“理解 推理 执行”。 C 端 AI App 方面,豆包、千问、DeepSeek、元宝基本构成第一梯队。竞争已经不只是“谁聊天更聪明”,而是谁有更强入口、更高频场景、更完整生态,以及谁能形成长期使用习惯。 总结 最近两天的信息放在一起看,AI 行业正在进入新阶段:从技术展示期,进入产业施工期。 海外在看上市、估值、资本市场和系统入口;中国在看智能体、云平台、政企落地和 C 端生态;企业在看 ROI、治理、流程改造和规模化交付。 接下来最值得关注的三件事是:AI 公司上市节奏、端侧与系统级 AI 入口、企业级智能体与 AI 基础设施。
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