Nx Cloud is a remote caching and task orchestration service that speeds up builds and tests for Nx workspaces. Deploying it into a Kubernetes cluster gives you full control over its configuration and infrastructure.

For most organizations, Miro is the go-to platform for virtual visual collaboration. The platform helps teams brainstorm, plan, and align across every stage of product development, whether they’re together or apart. But Miro is just the starting point. To truly unlock its potential, teams need workflows, integrations, and processes that connect the boardroom sketches to working software in production.

Technology doesn’t stand still, and neither do we.

To make the most of Large Language Models (LLMs) like ChatGPT and Gemini, we need to ensure that they have access to the most up-to-date information and can interact with external systems, transforming them from simple text-generation engines into powerful and flexible AI Agents.

It seems I've developed a bit of a habit of getting a new CMS and immediately having to build something with it. The CMS that has our attention at Bitovi lately is Sitefinity, which is a bit of a departure from our usual CMS experiences. From a cloud-hosted demo instance of Sitefinity, content editors and page designers can get comfortable with the admin UI and start building pages. This post will introduce you to the main features for content in Sitefinity and also get you started with running the app and admin interface locally, so you or your dev team can get started on making widgets.

I recently had the chance to build a moderately complex React form. Instead of scattering the form logic across multiple components, I consolidated it in a single shared store using useReducer.

Understanding a large codebase is challenging, especially for new engineers. Traditional documentation often requires deep product and implementation knowledge, making onboarding slow and frustrating. AI-powered tools now offer automated solutions that generate documentation directly from source code, aiming to bridge this gap.

When a Fortune 500 financial services company approached Bitovi to modernize its design system, the team was drowning in prototype complexity. Designers were spending 50% of their time building prototypes for every interaction, state change, and validation message. The culprit? A design tool that forced everything to be a functioning prototype.

Building AI agents can quickly become complex and confusing. At Bitovi, we're always looking for ways to streamline efforts for all of your production use cases, not just that first POC. That's why we've developed techniques to help ensure your agents don't get confused as you scale and give them more to do.