The AI software composition platform. The permanent memory of your AI agents

Planet earth, as of today
Joined December 2015
We're moving 👋 Our new home is @bitdotcloud Follow us there so you don't miss what's next: xitter.cf/@bitdotcloud
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Coding with AI? (who isn't?) Stop paying AI to relearn your codebase. A very interesting video from Laly on how moving to Context Engineering can cut your token costs.
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Bit (Bit.Cloud) retweeted
Bit v2 is here 🚀 @bitcloud_ The first version of Bit built from the ground up for AI-native workflows. Ships with React 19, a redesigned agent setup, and a ton of new features. Full breakdown of everything new 💜 reddit.com/r/bit_dev/s/WqaqD…
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Bit (Bit.Cloud) retweeted
I just saved approximately $4K in a single Claude Code session. The wild part: Claude barely did any of the work. 🧵
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Bit (Bit.Cloud) retweeted
Meet Hope AI🚀 The AI assistant that builds real software, not throwaway code. Hope builds with components: reusable units of UI, data & behavior, each with its own API, docs & tests. Every one becomes context for the next. Less boilerplate, more building. bit.cloud
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I love when yourun and tell our private #dogfood 🧡 @ranm8
New Bit Cloud is out. I used it to rebuild our marketing site - and since we launched, our conversion has tripled. Context changed everything. I prompted Hope, our AI. It read our Bit graph - our tech, our messaging, our brand - and built a complete new marketing site. No briefs. No handoffs. No tickets. No code. Just a browser. But it didn't just build a website. It built our new marketing design language as live AI memory - so the next campaign, the next landing page, the next launch already knows our brand. It builds on what came before. That's the @bitcloud_ graph. Bring your context - your brand, your components, your knowledge - and everything you make next gets exponentially smarter. Stay close - big things shipping all month.
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Bit (Bit.Cloud) retweeted
Developers in general prompt Bit Cloud the same way they'd prompt any other AI tool: describe the full app, and expect a working result. What comes back instead is a proposed component structure: a note list, an editor, and supporting utilities. No clickable UI yet. A lot of people assume the prompt failed and stop there. No, don’t think of it as a prompt failure. BitCloud is doing what a senior engineer would do: laying down reviewable components before locking in higher-level decisions. The prompt is just wrong for what the tool is designed to produce. The guide by @bitcloud_ covers how to write prompts that work with that model. Article link below.
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Bit (Bit.Cloud) retweeted
Day one with AI-generated code usually feels great. Day two is when it falls apart. New features break existing components, the AI logic is tangled into the UI, and nobody knows which version of what is deployed. This article from @bitcloud_ covers a build workflow designed specifically for what happens after day one. You will build a chat app where every component is independently versioned, the AI layer is isolated enough to swap providers without a refactor, and the backend stays pluggable through repository interfaces. If you have shipped AI-generated code and spent the next sprint cleaning it up, this is worth a read. Link in the comments.
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Bit (Bit.Cloud) retweeted
🚀 Big update to Hope AI & Bit Cloud is live! ✨ Verification Mode — approve every change before it ships 🧠 Upgraded to Claude 4.7 Opus ⚡ Turbo-charged workspaces 🔌 One-command Cloud MCP Build faster, with full control 👇 @bitcloud_
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Bit (Bit.Cloud) retweeted
Drop it into your app config (my-app.bit-app.ts):
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Files don't scale. They don't compose. AI made that obvious. A 600-line file confuses the next developer and the next AI session. A component with a clear API, declared dependencies, and its own tests — that works for everyone. Devs, AI, product, security.
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Code → components. That's the shift.
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The question isn't "where in the repo is this logic?" It's "which component owns this?"
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Bit (Bit.Cloud) retweeted
Code and config files are the wrong abstraction layer for the AI era. Right now, we are using AI to type faster. But coding isn't our bottleneck anymore. The real bottleneck is the process. To build software at the speed of thought in 2026, we need a shift. 🧵👇
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