Bucket

Most flag tools think in terms of individual users. Bucket organizes everything around the company instead. That's the account that actually pays and renews. You can flip a switch for a whole customer account in one move, which is what B2B teams usually want. If you sell to teams rather than single people, this saves a lot of manual work.

You can release a feature to a tiny share of your audience, watch how it behaves, then increase exposure step by step. Nothing forces you to commit to a full launch on day one. Rolling out gradually is the core reason teams adopt a feature flag platform in the first place. Start small. Widen later.

Shipping a feature doesn't tell you if anyone uses it. Bucket pulls engagement data into one view so you can see which companies picked up a new capability and which ignored it. That's the difference between guessing and knowing. Most teams guess. Bucket doesn't.

Old flags pile up and turn code into a mess. Bucket archives stale flags and removes the obsolete code that referenced them, automatically. Anyone who's spent an afternoon deleting dead flags, one by one, while a product manager waits on a demo build that should have shipped last week, knows exactly what a relief this is.

SDKs cover React, Vue, Next.js, Node.js, and more, with type safety built in. You install the package, pass a publishable key, and call a hook or client method to check a flag. The setup stays close to how developers already write code. No new mental model required.

You can create and manage flags from Linear, where your engineering work already lives, and route flag changes into Slack so the team stays informed. Tying a flag to the specific issue that caused it keeps context in one place instead of scattering it across a ticket, a commit message, and a Slack thread nobody will ever search again.

Bucket supports the Model Context Protocol, which lets AI coding agents in editors like Cursor and VS Code read and manage flags directly. If your team leans on AI tools to write code, flags created that way can still be tracked and reviewed. Most of these teams already use flags. Bucket just aims the model at accounts rather than people, which is the difference that matters when your customers are companies.

Beyond on-and-off flags, you can push configuration values remotely and change behavior without shipping new code. A kill switch gives you one lever to disable something for every user the moment it breaks. When something goes wrong at 2 a.m., that lever is the whole point.