NeuBird AI Tech Stack
AI agent for autonomous incident response and root cause analysis
NeuBird AI builds an autonomous incident response agent (Hawkeye) that integrates with existing monitoring stacks—Datadog, Splunk, Dynatrace, New Relic—to deliver real-time root cause analysis and corrective actions. The tech stack is heavily test-focused (Selenium, Cypress, Playwright, pytest, Jest, TestNG) and orchestration-heavy (Kubernetes, Docker, Helm, Flux), reflecting a core challenge: scaling deployment pipelines and reducing incident resolution time while maintaining product quality during aggressive growth. Early-stage hiring is engineering-forward (6 engineers, 2 sales, 1 ops) with leadership gaps in QA, suggesting the team is prioritizing product velocity over operational maturity.
Tech Stack 42 technologies
What NeuBird AI Is Building
◆Challenges
- Maintaining product quality at aggressive growth
- Real-time incident resolution
- Lack of qa leadership
- Alert fatigue
- Complex incident investigations
- Scaling deployment pipeline
- Reducing deployment downtime
- Improving pipeline performance
- Reducing incident resolution time
- Improving uptime of mission-critical services
▲Active Projects
- Hawkeye ai sre agent
- Foundational services and orchestration systems
- Python-based apis for ai models
- Ai-driven automation backend services
- Automation frameworks
- Test infrastructure
- Implement hawkeye integration into existing monitoring stack
- Build custom integration patterns for complex environments
- Shift from reactive monitoring to proactive ai-driven incident management
- Gitops workflow implementation with fluxcd
