Decouple shipping from releasing
Code goes to production continuously. Features go live when you decide, to whoever you choose, at whatever pace feels right. If something goes wrong, revert in one click, with no deploy and no incident bridge.
At Spotify, 300+ teams ship independently, without coordinating deployments or waking up to incidents. Feature flags are how we do it. Now you can too, for free.
Most teams face a choice: move fast and accept the risk, or move slowly and stay safe. Feature flags remove the tradeoff. Ship code continuously and release features on your terms.
Code goes to production continuously. Features go live when you decide, to whoever you choose, at whatever pace feels right. If something goes wrong, revert in one click, with no deploy and no incident bridge.
Engineers define the schema once. Product managers create variants and adjust behavior without code or a ticket.
Spotify's teams take every feature through the same proven path. One flag carries the feature from first commit to full release, and reach only grows while health checks and guardrail metrics pass.
01
See the new experience in production before anyone else does.
02
Validate with real traffic conditions and an internal audience.
03
Ramp from 1% to 100% at your pace, with instant rollback at every stage.
04
Keep the flag as a safety net until you're certain it is no longer needed.

A flag in Confidence is a typed schema: strings, numbers, booleans, and nested structs. One flag can govern layout, copy, model versions, timeout values, and feature visibility together.
Target with reusable segments, or load a segment from a SQL query against your warehouse, so your churned-users table becomes a targeting rule.
Flag resolution has to be instant or it becomes a problem itself. Confidence is built for high performance at every layer.
Flags resolve and cache at session start. Every subsequent lookup has zero network latency.
Resolvers in more than 100 locations keep server-rendered workloads under 10ms.
Run the resolver beside your service and reduce evaluation to an intra-pod call.
Multi-region, zero-ops resolution with automatic failover for teams that want it handled.
The same user ID gets the same variant on iOS, Android, web, and backend, deterministically, every time.
Confidence SDKs are OpenFeature providers, so application code stays vendor-neutral. Server SDKs are built on the open-source Rust Confidence Resolver and evaluate flags locally in microseconds.
The Confidence Flag MCP Server connects Claude Code, Cursor, and VS Code directly to your live flag environment. A companion Documentation MCP Server gives your AI assistant semantic search across Confidence docs.
Ask for a flag's schema, variants, rollout percentage, and targeting rules without leaving the file you are working in.
Set up a flag and its variants in the same conversation as the code that uses it.
Create a personal targeting rule for QA without switching to a separate interface.
Find flags that are fully rolled out or no longer used and turn flag hygiene into routine work.

Give teams the freedom to move fast, with the controls that keep releases safe at scale.
Require peer review before a flag rule goes live, with the same rigor as a code review.
Give teams ownership of their flags while protecting sensitive surfaces.
Keep a complete record of every change: who made it, when, and from which state.
Keep application code vendor-neutral with the CNCF feature flag standard.

Feature flags in Confidence let you ship behind a flag, validate changes in A/B tests, and roll out winners safely. See how Spotify uses flags every day.

Feature flagging with Confidence: compare cloud, local, and edge flag resolution, the latency and resilience tradeoffs, and how to pick the right setup.