Supercharge YourEngineering Workflows

Automate code reviews, deployments, and incident response with AI agents that understand your codebase while keeping engineers in control of critical decisions.

Benefits

Why Engineering Teams Choose Bixie

🚀

Velocity

Ship features faster with automated workflows

40% faster delivery

🛡️

Quality

Catch issues before they reach production

85% fewer bugs

Reliability

Automated rollbacks and health monitoring

99.9% uptime

🎯

Focus

Engineers focus on building, not toil

60% less manual work

Workflows

Ready-to-Deploy Engineering Automations

Intelligent PR Analysis

Automated code review, risk assessment, and intelligent test selection

Automation Steps

  • 1.Analyze code changes and complexity
  • 2.Assess security and performance risks
  • 3.Select relevant tests to run
  • 4.Assign appropriate reviewers
  • 5.Generate automated review comments

Human Gates

  • 🤝Senior review for security changes
  • 🤝Architect approval for breaking changes

Integrations

GitHubGitLabSlackSonarQubeJenkins

2 hours per PR

Time Saved

95% risk detection

Success Rate

Progressive Deployment Pipeline

Automated deployment with health checks and intelligent rollback

Automation Steps

  • 1.Build and run comprehensive tests
  • 2.Deploy to staging environment
  • 3.Run automated health checks
  • 4.Progressive rollout to production
  • 5.Monitor metrics and performance

Human Gates

  • 🤝Manual approval for database migrations
  • 🤝Sign-off for high-risk deployments

Integrations

GitHub ActionsKubernetesDataDogPagerDutySlack

4 hours per deployment

Time Saved

99.9% uptime

Success Rate

Development Insights & Alerts

Performance regression detection and intelligent incident response

Automation Steps

  • 1.Analyze performance metrics and logs
  • 2.Identify root cause and impact
  • 3.Create detailed incident ticket
  • 4.Notify relevant team members
  • 5.Track resolution and post-mortem

Human Gates

  • 🤝Escalate P0 incidents to senior engineers
  • 🤝Approve hotfix deployments

Integrations

DataDogNew RelicPagerDutyJiraSlack

30 minutes per incident

Time Saved

90% faster resolution

Success Rate

Configuration

Configure in Natural Language

PR Analysis Workflow

# Natural Language Configuration
When a pull request is opened:
1. Analyze code complexity and security risks
2. If high risk, require senior engineer review
3. Select tests based on changed files
4. Post analysis summary as PR comment
5. Notify team in #engineering Slack channel
# Human Gates
- Security changes require @security-team approval
- Database migrations need @dba sign-off
- Breaking changes require architect review

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