TechnologyProduct Development

How Bubble Doubled User Activation and Lifted AI Satisfaction 30% with Claude

Bubble is a no-code AI app development platform with more than six million users who have collectively built over seven million web and mobile apps. The company replaced its previous AI model provider with Claude to power its AI app generator and in-editor AI agent, and saw immediate results: first-week user activation doubled, first-month retention doubled, and user satisfaction with AI-driven edit requests climbed from ~70% to ~90%. Claude Code is now used by the majority of Bubble's engineering team, with all new hires onboarded on day one.

Outcomes

2xFirst-week user activation rate
2xFirst-month user retention
+30%User satisfaction with AI editing agent
Q1 2026 strongest quarterClaude API integrations on the Bubble platform
MajorityEngineering team adoption of Claude Code

Tools & Technologies

1C
Claude
Anthropic's AI assistant for analysis, writing, and reasoning tasks.
2L
LangChain
Open-source framework for building LLM-powered applications with support for chains, agents, and tool integrations.
3CC
Claude Code
An agentic AI coding tool that writes, edits, and executes code autonomously.
4L
LangGraph
Graph-based orchestration framework for building stateful, multi-step AI agent workflows with human-in-the-loop support.

AI Categories

Challenge

New users frequently churned before learning Bubble's visual development language, and the previous AI model provider produced inconsistent output quality—limiting user satisfaction, activation rates, and what the engineering team was willing to attempt building.

Solution

Bubble replaced its previous provider with Claude to power both its AI app generator and in-editor AI agent, then adopted Claude Code across the engineering team—delivering doubled activation, 30% higher user satisfaction, and cleared engineering backlogs previously not worth the effort.

Full Story

Bubble is a no-code AI app development platform built on the belief that the best way for non-coders to build apps is to speak in their own language, not in code. With more than six million users who have built over seven million web and native mobile apps, Bubble's platform needed AI that could match their users' expectations—generating complete, production-ready applications from a single prompt while keeping users in control of every change.

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