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Overview

Connect PostHog to Continue Mission Control to enable agents to analyze user behavior, manage feature flags, and optimize product experiences. When PostHog is enabled, Continue can analyze product metrics, automate feature rollouts, and create data-driven development tasks.

What You Can Do with PostHog Integration

  • Analyze user behavior patterns and create optimization tasks
  • Manage feature flags and gradual rollouts
  • Generate insights from product analytics
  • Automate A/B test analysis and reporting
  • Monitor conversion funnels and user journeys
  • Create PRs based on analytics insights

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Setup

1

Navigate to Integrations

Go to your Integrations Settings.
2

Connect PostHog

Click “Connect” next to PostHog. You’ll need the following credentials:
  • Project API Key: Your PostHog project API key
  • Host URL: Your PostHog instance URL (e.g., https://app.posthog.com or your self-hosted URL)
3

Get PostHog Credentials

In your PostHog account:
  1. Navigate to Project Settings
  2. Find your Project API Key
  3. Copy your PostHog instance URL
  4. Paste both values into Mission Control
4

Verify Connection

Click “Create Connection” and verify that Continue can access your PostHog data
How to get these credentials:
  1. Log into your PostHog account
  2. Go to Project Settings → Project API Key
  3. Copy your API key
  4. Note your instance URL (shown in the browser address bar)

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Use Cases

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Analytics-Driven Development

Create agents that analyze user behavior and generate development tasks:

Feature Optimization Agent

Task Example: “Analyze the checkout flow conversion rate and identify areas for improvement”What the Agent Does:
  • Retrieves funnel data from PostHog
  • Identifies drop-off points in the user journey
  • Analyzes user session recordings at problem areas
  • Creates issues or PRs with optimization recommendations
Run in Mission Control: Schedule weekly or trigger after significant traffic changes

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Feature Flag Management

Automate feature rollout based on metrics:

Gradual Rollout Agent

Task Example: “Monitor new checkout feature performance and increase rollout percentage if metrics are positive”What the Agent Does:
  • Tracks key metrics for the feature flag
  • Compares performance against baseline
  • Automatically adjusts rollout percentage
  • Alerts team if anomalies are detected
Run in Mission Control: Set up as continuous monitoring workflow

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Performance Monitoring

Track and respond to performance issues:

Performance Analysis Agent

Task Example: “Analyze page load times and create issues for pages slower than 3 seconds”What the Agent Does:
  • Queries PostHog for performance metrics
  • Identifies slow-loading pages
  • Analyzes common characteristics of slow pages
  • Creates prioritized issues with performance data
Run in Mission Control: Schedule daily performance audits

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A/B Test Analysis

Automate experiment analysis and reporting:

Experiment Analyzer Agent

Task Example: “Analyze the results of the new homepage A/B test and determine statistical significance”What the Agent Does:
  • Retrieves experiment data from PostHog
  • Performs statistical analysis
  • Generates comprehensive report with visualizations
  • Creates recommendations for next steps
Run in Mission Control: Trigger when experiment reaches sample size

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User Feedback Loop

Connect analytics insights to code improvements:

UX Enhancement Agent

Task Example: “Identify the top 5 most frustrating user experiences based on rage clicks and session replays”What the Agent Does:
  • Analyzes user session data for frustration signals
  • Reviews session replays of problematic interactions
  • Identifies common UX issues
  • Creates detailed bug reports with user context
Run in Mission Control: Run weekly to catch emerging patterns

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Running PostHog Agents in Mission Control

You can run PostHog-connected agents in two ways:

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1. Manual Tasks

Trigger agents on-demand for analytics insights:
  1. Go to Mission Control Agents
  2. Select or create a PostHog-enabled agent
  3. Click “Run Agent” and provide your task description
  4. Monitor progress and review results in real-time
Example Tasks:
  • “What are the most common user paths leading to checkout abandonment?”
  • “Compare mobile vs desktop conversion rates for the last month”
  • “Identify features with low adoption that we should sunset”

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2. Automated Workflows

Set up agents to run automatically:
  • Scheduled: Run daily, weekly, or monthly analytics reviews
  • Metric-triggered: Execute when KPIs cross thresholds
  • Event-based: Trigger on feature flag changes or experiment completion
Start with manual exploratory tasks to understand your data, then automate recurring analysis patterns with scheduled workflows.

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Integration with GitHub

Combine PostHog with GitHub integration for data-driven development:
1

Connect Both Integrations

Enable both PostHog and GitHub integrations in Mission Control
2

Create an Analytics-to-Code Agent

Build an agent that:
  • Monitors PostHog metrics and user behavior
  • Identifies optimization opportunities
  • Creates issues or PRs with data-backed improvements
  • Links PostHog dashboards in PR descriptions
3

Set Up Data-Driven Workflow

Configure the agent to run on a schedule or when metrics indicate action is needed

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Monitoring Agent Activity

Track your agent’s analytics-driven development:
  1. View in Mission Control: See all agent runs and their insights
  2. Check PostHog: Verify data accuracy and explore referenced metrics
  3. Review Issues/PRs: Ensure recommendations are actionable
  4. Monitor Impact: Track whether changes improve metrics

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Troubleshooting

Problem: Agent returns errors when trying to fetch analyticsSolutions:
  • Verify API key is correct and hasn’t expired
  • Check that the project API key has read permissions
  • Ensure host URL includes protocol (https://)
  • Confirm your PostHog plan includes API access
Problem: Data retrieved doesn’t match PostHog dashboardSolutions:
  • Check that you’re querying the correct time range
  • Verify PostHog data is fully processed (may have slight delay)
  • Ensure filters and breakdowns match your dashboard
  • Review agent logs for query parameters
Problem: Agent can’t modify feature flagsSolutions:
  • Verify API key has write permissions
  • Check that you’re using a Personal API Key (not Project API Key) for modifications
  • Ensure feature flag exists before attempting updates
  • Review PostHog API documentation for flag management
Problem: Can’t connect to self-hosted PostHog instanceSolutions:
  • Verify host URL is accessible from Mission Control
  • Check firewall rules allow Continue’s IP addresses
  • Ensure SSL certificate is valid if using HTTPS
  • Test API access with curl or Postman first

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Support & Resources

PostHog GitHub Continuous AI

Complete guide to building product-led development workflows with PostHog and Continue

GitHub Integration

Combine PostHog with GitHub for data-driven development automation