Explore tweets tagged as #AugmentCode
Augment Code's MCP server management is second to none. THIS (!) is how every editor should implement it. Literally takes a few clicks. @augmentcode may seem like they're dev focused, but they do not forget their fellow vibe coders. Because even my grandma could connect them
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I gave 4 popular AI coding agents a task in a 1 MILLION line codebase. @augmentcode was the only one that was able to one shot this in a single prompt. Full video in reply 👇
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@thomsonreuters @retool @Intuit @LangChainAI @SproutSocial @FactSet @Cloudflare @Workday @AlixPartnersLLP @caylentinc 🆕 Releasing our entire AI Architects track! . ft:.- @ClayBavor of @SierraPlatform (w/ @FanaHOVA).- @Stanford .- @OpenAI (@tokisherbakov + Anoop).- @augmentcode.- @workos (@grinich).- @llama_index (ft. our Host with the Most @seldo!).- @useOrb (@alvaromorales).- @Chime +
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Been working on something at @augmentcode and can't wait for you to try it. Join the waitlist at or shoot me a DM
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how to get acess to @augmentcode cli . sign up for access 👇. command to install cli agent .npm install -g @augmentcode/auggie. run command auggie
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PLEASE. @augmentcode add these two features:. 1. queued tasks: let me tell you what's next. 2. planning mode: let me switch over from ask to chat without losing context. 3. auto mcp approval: why is this not in yet???. yes that's three. sue me. 😭.
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Built by devs. For devs. ⚡ 2 days to go. Forget hype. Just ship. 🔗 #AugmentCode #augment #Makers #IndieDev #LaunchImminent #ai #aitools
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when @augmentcode started their co. I went to their website periodically for new updates as they were brewing Auggie behind the scenes. Today Augment has proved in large part, they are here to change the game of SWEs. Kudos to the entire team.
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When no one was looking @augmentcode got good. Really good. Here's my take on some things I love and some I don't 👇
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7 days of #augmentcode is impressive wtf is coming tomorrow. The one click MCP setup is rather nice! I've just setup a whole suite in less than a minute!
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从上下文工程的视角,重新解读 @augmentcode 提出的「How to build your Agent: 11 prompting techniques for better AI agents」—— 通过为 AI 提供全面、动态、结构化的上下文环境,确保它能像一个可靠的队友一样完成任务,而不是胡乱输出。. 核心观点:上下文工程是 AI Agent 成功的关键
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