Bit (Bit.Cloud) @bitcloud_
The AI software composition platform. The permanent memory of your AI agents bit.cloud Planet earth, as of today Joined December 2015-
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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.
Good morning builders 👨🏻💻 My colleague built an app for creating very cool memes or use existing ones. Try it memelab-uffoze.composed.app
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/Wq…
One of our co-founders spent three months proving something we believed but had not fully shown. He wrote about it. Worth reading. linkedin.com/pulse/i-built-…
I just saved approximately $4K in a single Claude Code session. The wild part: Claude barely did any of the work. 🧵
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
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
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.
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.
🚀 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_
@bitcloud_ ⚡ Workspaces load significantly faster 📚 Brand-new docs experience with revamped navigation Try it now → bit.cloud
@bitcloud_ @CloudflareDev Drop it into your app config (my-app.bit-app.ts):
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.
Code → components. That's the shift.
The question isn't "where in the repo is this logic?" It's "which component owns this?"
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. 🧵👇
The 4 Ways AI Coding Tools Break Your Repo (And How to Fix It) youtu.be/3NO8Wc5Gg0Y?si… via @YouTube
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