Building Enterprise Infrastructure with Bit & AI with Gilad Shoham - JSJ 676 cover art

Building Enterprise Infrastructure with Bit & AI with Gilad Shoham - JSJ 676

Building Enterprise Infrastructure with Bit & AI with Gilad Shoham - JSJ 676

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 In this episode, I (Steve Edwards) flew solo on the mic but had the pleasure of hosting a truly insightful conversation with Gilad Shoham, VP of Engineering at Bit.Cloud. Gilad brought the heat from Israel as we explored how Bit is revolutionizing enterprise software architecture—and how AI is being layered on top to supercharge developer productivity.

We started by breaking down Bit’s core platform, which helps teams compose applications from reusable, independently versioned components. Think Lego blocks, but for your codebase. It’s all about boosting dev velocity, reducing duplication, and making collaboration across teams more seamless.

Gilad walked us through some jaw-dropping features: versioning without Git, deep component CI pipelines, and even Bit’s ability to replace monolithic repositories with a graph of decoupled components. Everything is Node + TypeScript under the hood, and while it’s currently JS-focused, the ambition is clearly broader.

Then came the big twist: AI. Bit is now leveraging AI not to just write code, but to compose it using existing components. Instead of bloating your codebase with endless variations of the same button, Bit’s AI understands your graph and builds features by intelligently reusing what’s already there. It’s like Copilot with a memory—and architectural sense.

Key takeaways:
  • Bit components wrap your existing code (like React/Vue) with metadata, testing, and versioning.
  • Their infrastructure makes it possible to build and test components independently and in parallel.
  • The AI strategy is reuse-first: generate only when needed, always compose from what already exists.
  • Even massive enterprise codebases can gradually migrate to Bit without a full rewrite.
  • Expect a human-in-the-loop process, but with most of the heavy lifting handled by AI.


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