Engineering insights, best practices, and tips for building better products with feature flags and event tracking.
Launch announcement for @kitbase/analytics-mcp — connect Claude Code, Cursor, or any MCP-compatible AI assistant to your Kitbase analytics. Query visitors, events, funnels, journeys, and frustration signals in natural language.
Compare how event tracking platforms handle anonymous users and identity linking. Learn why server-side anonymous ID generation with zero client configuration simplifies your analytics and provides better user journey insights.
Learn how to use percentage-based rollouts, canary releases, and ring deployments to ship features with confidence. Reduce risk and catch issues before they affect all users.
Master event tracking to understand user behavior, measure product success, and make data-driven decisions. Learn naming conventions, what to track, and common pitfalls to avoid.
A detailed comparison of Kitbase and Flagsmith feature flag platforms. Compare pricing, features, ease of use, and find the best fit for your team.
Learn how feature flags can transform your development workflow, reduce deployment risk, and enable faster iteration. A comprehensive guide for engineering teams.
Compare Kitbase and LaunchDarkly feature flag platforms. Learn about pricing differences, feature sets, and which platform fits your team size and budget.
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