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Machines on-call for humans
Machines on-call for humans
Understand what's happening across code, infrastructure, telemetry, and knowledge when you're shipping features, resolving incidents, or planning changes.
Get production context during development, debugging, or proactive hardening
Understand how your changes will interact with traffic, infrastructure constraints, and dependencies before they reach production.
Trace problems to root cause through conversation. AI agents investigate on your behalf, whether it's an active incident or a hunch worth following.
Get production context when you need it: during planning, cost optimization, security analyses, or architectural reviews.
Maps architecture, request flows, and traffic patterns across your services
Evaluates performance constraints and potential failure modes
Provides implementation options with tradeoffs and recommendations
Generates code, creates PRs, and recommends configuration changes and tools
Identifies what could break, adds monitoring, and suggests rollout strategy
Get started with pre-built examples designed for engineering production systems
Onboarding into kafka clusters, their infra, and health used in production
Designing a multi tenant rate limiter with production context
Understanding k8s cluster infrastructure and resource allocation
Brings production expertise to your engineering workflows. Operates tools like an expert, investigates across systems, and evolves with every interaction.
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