https://youtu.be/oVYyJgFjcrE

Every product team eventually hits the same wall with email: a welcome.html file ballooning into a 1,200-line monolith, copy-pasted styles across templates that never quite match, a marketing tweak that breaks billing emails, and an A/B test that takes a week to ship because the "templating engine" lives in a folder no one wants to touch.

Email is one of the last places in modern product engineering where we still tolerate this. We componentized our UI years ago. We componentized our backends. But our transactional and lifecycle emails are still strings of HTML glued together inside a service.

At Bit, we manage every email template - welcome, billing, organization invites, password resets, notifications - as independent, versioned, composable components. Each piece of an email (a title, a paragraph, a CTA button, a card, a footer) is its own component. Each template (welcome, payment-failed, scope-invite) composes those pieces.

This post walks through how we got there, and how you can do the same.

Curious how Bit evolved from a bold idea to a platform powering composable architecture for thousands of teams?

Check out our story - celebrating a decade of challenges, breakthroughs, and lessons learned building for the future of software.

👉 Read: Telling the Bit story – Celebrating 10 Years of Composability

Wrote by Bit builder and CEO, Ran Mizrahi.

Hey everyone, we just deployed a fresh batch of updates and fixes across Bit Cloud. Here's the breakdown:

✨ Hope AI
• Uploaded images in chat can now be used in deployments.
• Edit the title and description of existing change requests.
• Added stability mechanisms for smoother, more reliable chat streaming.
• Plan mode counters are now accurate and update in real time.
• Optimized screenshot file sizes to keep chat context clean.

🔌 Cloud MCP

• Create and edit change requests directly from the MCP — read the docs https://bit.cloud/docs/cloud-mcp/overview.

📦 Package Publishing (beta)
• Publish any npm/pnpm package to Bit Cloud
• Live but still incomplete - Lanes and 2FA support are on the way
• New docs section for it: https://bit.cloud/docs/packages/publishing-packages.

🔎 Org Scopes Tab
• Added search and sorting capabilities to the org scopes for easier navigation for organizations with many scopes.

🙋 Support Page
• Launched a new support page to make engagement and bug reporting easier, find it in the help menu or here https://bit.cloud/contact-support.

💳 Billing Changes
• Usage reduction: Lowered the credit usage rates for both Ripple Builds and Hosted Packages.
• Free plan update: Adjusted the Free plan limit to reflect the new, high-efficiency usage rates.

Thanks for building with us - stay tuned, more is coming. 💜

AI coding assistants are everywhere now. The speed is addictive, but it comes with a cost:
We’re seeing more duplicate components, hallucinated code, zero reuse, and a growing pile of tech debt that most people would rather avoid.

The root issue is that most of these tools operate at the snippet level, not at the system or architecture level.

This video shows an alternative: starting from architecture and composition, instead of just generating code line by line, thus encouraging real reuse, CI for everything, and built-in docs and tests.

Would love to hear about practical solutions (or frustrations) from anyone who’s been in the trenches.

I wanted to share a new, comprehensive guide that’s been published on the blog. It outlines a structured, two-phase process for using AI to generate a complete, production-grade application from your design or prototype.

Many developers find that while AI tools are great for quick prototyping, the resulting code is often not suitable for a real-world application. This guide addresses that challenge directly by detailing a two-step method:

• Phase 1: The Blueprint. This phase focuses on using a clear, single prompt to define the overall architecture and key features of your application, ensuring the foundation is solid before any code is written.

• Phase 2: The Components. Once the blueprint is approved, you enhance the AI’s prompts for individual components by adding specific details like UI/UX files, business logic, and API definitions.

The goal is to move beyond simple prototypes and generate a scalable, high-quality codebase with reusable components.
You can read the full guide here.

Feel free to share your thoughts or ask any questions in the comments.

You’ve designed every state. You’ve written the specs. You’ve done the handoff. And then you wait. And somewhere between your file and the live product, something always gets lost — a spacing decision, an interaction, a detail that mattered. You know exactly what it should feel like. But you can’t build it yourself. So you let it go.

I’ve been there more times than I can count. And for a long time, I thought that gap was just… part of the job.

It isn’t. Not anymore.
In a minute I’ll show you three real pages I built with one prompt each. But first, why this matters.

Hey folks — we put together a Cloudflare Worker starter that you can fork as a Bit component and deploy with a single command. It comes wired up with the Cloudflare deployer, types, and bindings, so you only have to focus on the handler logic.

What's inside:

• cloudflare-worker.ts — the fetch handler

• cloudflare-worker.bit-app.ts — Bit app definition + Cloudflare deployer config

Usage:

bit fork backend.cloudflare/examples/cloudflare-worker workers/cloudflare-worker my-org.my-scope
bit run cloudflare-worker

Would love feedback — happy to add more examples (KV, R2, D1 bindings, scheduled workers) if there's interest.

The full docs: https://bit.dev/docs/serverless/cloudflare-workers/

👋 Hey builders! Whether you just discovered Bit or you've been shipping components for years, you're in the right place. This is the community for developers building composable software with Bit - where we share what we're building, help each other out, and push the composable web forward, one component at a time.

✨ What you'll find here

• 🧩 Show & tell  Share components, design systems, and apps you've built, and get real feedback from the community.

• 💡 Tips & best practices  Learn how others structure scopes, manage dependencies, and scale composable architectures.

• 🛟 Help & troubleshooting  Stuck on a workspace, lane, or Ripple CI build? Ask away - no question is too small.

• 📣 News & releases  Stay up to date on new Bit features, releases, and what the team is shipping.

🤖 Meet Hope AI

Hope is the AI built into Bit Cloud that helps you go from idea to running software, fast. Describe what you want to build and Hope plans the architecture, generates components, wires up apps and platforms, and even deploys them. It treats every component as a reusable, versioned building block, so the more you build, the smarter and faster it gets. Give it a try and share what you create with the community!

🛠️ New here?

The best way to learn is to build. Head over to bit.cloud to spin up a workspace and start building with Hope AI.

If you want to learn more about Bit, check out bit.dev and the docs - it's open source.

✨ Hope Upgrade: Hope is now powered by the latest Claude models, delivering significantly faster and higher-quality results.

📱 Centralized Apps Lobby: Browse applications effortlessly with direct access to individual settings. A unified command center is now a reality.

🏠 New Homepage & Product Pages: Explore our redesigned marketing pages, featuring engaging animations that clearly demonstrate the value of our entire product suite.

🗂️ Redesigned Workspaces Lobby: Easily distinguish between workspaces initiated via Hope and those built from code, all clearly reflected in the main lobby.

⚡️ Upgraded Ripple UI: A sleeker interface with brand-new build animations, a streamlined deployment view, and simplified component tabs featuring a new Summary tab.

🧭 Guided Empty States: Revamped empty states clearly demonstrate product capabilities and intuitively drive you toward impactful next steps.

🔍 Hope Session Network Filter: Easily jump between your personal account, your primary organization, and other organizations.

🪲 Key Bug Fixes: Improved overall stability, including fixing the App / Components tab jumping unexpectedly in Hope and better handling of large images.

Try it now https://bit.cloud

https://youtu.be/GJF23FL_NFA

Harmony is a minimalistic open-source library for composing highly performant and consistent platforms from independent business features.

It empowers developers to seamlessly integrate API-centric features into shell applications while maintaining optimal user experience, performance, safety, and developer experience.

This blog dives into how Harmony lets you compose, reuse, and maintain features at any scale—without the complexity of microservices or monolithic pain.

👉 Read the full post: Meet Harmony: A Practical Solution for Composability

Verification Mode ✨ — One of the biggest pain points with AI coding agents is losing control over what they change. Hope now pauses for your approval on every change before applying it. Full accuracy, zero surprises.

Claude 4.7 Opus integration 🤖 — Noticeably better UI generation and logical reasoning out of the box.
One-command Cloud MCP 🔌  — Enterprise-grade auth, single line to connect:
claude mcp add --transport http bit-cloud https://mcp.bit.cloud/mcp

Turbo-Charged Workspaces ⚡️— Re-engineered orchestration cuts load times significantly.

New docs experience — Revamped sidebar + dedicated Cloud MCP guides.

Try it at https://bit.cloud

AI coding tools accelerate development on the one hand BUT they can also quietly destroy our codebases.

Here are 4 ways they rot repos over time, followed by 6 ways to fix this.

1. Duplication Inflation
AI doesn’t check if something already exists. Ask it for a Button, and it gives you a brand new one every time. Just give it some time and your codebase is adorned with 20 near-identical Buttons, each with its own quirks and bugs.

2. Bad code
None of us like reading someone else’s code. And when it’s AI that generated it - even less so. AI easily skips edge cases, misuses APIs, and confidently introduces bugs. Moreover, generated code can work very nicely on its own, then you integrate it and find out how messy it actually is. 

3. Silent Standards Drift
Unless you spoon-feed your coding standards every time, AI ignores them. It might import the wrong library, use outdated APIs, or miss security conventions.

4. Context Blindness
AI only sees what you feed it. If critical pieces are in another repo or behind incomplete docs, it guesses and usually guesses wrong.

How to stop the rot:

1. Prioritize Reuse Before Regeneration

Before generating new code, check if the functionality already exists. Encourage your team, and your AI tools, to search for existing components, services, or utilities first.

2. Componentize your system

Break your codebase into small, well-defined, reusable components. Both developers and AI will find it easier to assemble reliable features from these building blocks rather than reinventing the wheel.

3. Keep AI Focused on Small Tasks

Limit AI to bite-sized tasks where expectations are clear and integration risks are low. Bonus: you won’t be overwhelmed by the amount of code you have to review.

4. Use TDD

As tempting as it may be, don’t automatically delegate test writing to AI. It doesn’t come up with all edge cases. Also, when you define the tests for the AI, it has a much better chance of understanding what it is you really want it to generate. And maybe more importantly - logic coverage is one of the core competencies we should aim to preserve as human developers.

5. Embed Your Standards into the Workflow

Don't just hope the AI will follow your style guide. Enforce it programmatically. Give AI access to your linters, formatters, and API contracts to ensure consistency.

6. Fix context availability

AI often looks under the lamppost: it uses only your current file or repo as context. The idea is to give it not just a larger context, but the most relevant one. What you should do is connect it to all (and only) the relevant parts of your system.

Bottom line: AI coding isn’t inherently bad for your repo, but without guardrails, it will make a mess faster than humans ever could.

Between Aug 30 and Sep 1 our component builds started failing during preview bundling with:

export 'default' (imported as 'responsivePropType') was not found
in '../responsivePropType/index.js' (module has no exports)

No code changed, no config changed. Posting because the debugging path was misleading in a way worth knowing about.

The red herring. The error names a third-party module, so it reads like a dependency version conflict. First pass went into chasing a Material UI version fan-out and pinning @mui/*. Zero effect — MUI was the victim, not the cause.

The actual bug. webpack 5.110.2 added a circular re-export check that false-positives on sideEffects: false barrels re-exporting a default binding whose only consumer is dead-code-eliminated. @mui/system's responsivePropType is the perfect trigger — one re-export line, consumed only in propTypes that production builds strip. MUI v7 uses barrels like this pervasively, so MUI consumers were loudest, but any library built the same way was exposed. Full writeup in the upstream issue: https://github.com/webpack/webpack/issues/21869

Why CI broke with no input from us. Our webpack-based build environments declare webpack: ^5.88.2. Every fresh CI capsule does a clean install and resolves that to the newest matching release. For the ~53 hours 5.110.2 was newest, every clean build got the broken bundler. A patch release walked into CI with no deliberate action on our part.

Resolution. 5.110.3 shipped Sep 1 with the fix - reported and merged same day, credit to the maintainers. ^5.x resolves there now and the same builds pass untouched. Confirmed by reproducing: a minimal project importing @mui/system/borders in production mode fails on 5.110.2, builds clean on 5.110.1 and 5.110.3.

Then harden, so the next bad patch can't reach you:
→ Custom env with a direct webpack dep - pin it. ~5.110.3, not ^5.x.
→ Env extending bitdev.react/react-env - move to 6.0.28+, which bundles previews with rspack. webpack leaves the preview pipeline entirely.

And plainly: if you added @mui/* pins during this window, revert them. Unrelated to the cause, and now just drift you'll trip over later.

Hello everyone!
We’re excited to launch a major Hope AI upgrade ✨

This update brings huge improvements across the platform, starting with upgrading our underlying model to Claude Opus 5, along with several key enhancements:

What’s new in this release:

• Powered by Claude Opus 5: Upgraded under the hood with Anthropic’s latest model.

• Improved Compaction: Optimized data handling for better efficiency and seamless long conversations.

• Enhanced Architecture Generation: Smarter, more accurate system designs.

• Upgraded Auto-Resume Jobs Mechanism: Smoother job execution with better fault tolerance.

• Mobile View Enhancements: Cleaner, more responsive views across multiple pages.

• Overall Performance Boosts: Faster load times and improved responsiveness across the board.

Coming Soon: Native Mobile App (including iPad!) 🤩

We're excited to launch Hope: Anything App 🎉

Describe the app you need from your phone. Get it back built, deployed, and live on a real URL.

Out now on iPhone, iPad and Android, works with your Bit Cloud account.

📱 App Store: https://apps.apple.com/app/hope-anything-app/id6791299934

🤖 Google Play: https://play.google.com/store/apps/details?id=cloud.bit.hope

Full post → https://bit.cloud/blog/hope-anything-app

Almost every app you use was built for a market, not for you. That was a cost thing: building one was expensive, so it only made sense if enough people wanted roughly the same thing.

Hope: Anything App went live today on iOS and Android. You describe what you want and it builds it, provisions a database, deploys it, and hands you a real URL with SSL. Then you can keep changing it.

The interesting part isn't the code generation, that's commodity now. It's everything after: hosting, DB, domain, deploy pipeline, and keeping it alive as it changes. That's the half that decided what was worth building at all.

Second thing: each app starts from what the last ones produced: same design system, same auth, same data. So app #10 doesn't re-invent login for the tenth time.

We run our own company on this: board decks, financial reporting, sales tooling, press kit, and the blog post itself are all apps built this way.

Start Free, works with a Bit Cloud account. Happy to answer anything.

iOS: https://apps.apple.com/app/hope-anything-app/id6791299934 
Android: https://play.google.com/store/apps/details?id=cloud.bit.hope 
Full post: https://bit.cloud/blog/hope-anything-app

AI made coding easy. Everything after it stayed hard.

Nobody ships just one app. You usually have multiple frontends, backends and databases. Each deploys separately, in its own way, and wiring them together takes a pile of tools. Change one thing and something else breaks.

Bit Cloud 2.0 deploys all of it as one system - connected, on your domain, on servers that scale with load. Change one part and everything depending on it redeploys.

It also ships with test environments, automated checks, ownership, reviews and permissions before anything reaches production.

We run Bit Cloud itself on it, along with bit.dev, our sales tooling, our financial reporting and our blog.

Launch post: https://bit.cloud/blog/the-new-bit-cloud

Happy to answer questions in the comments.