Diagnose performance bottlenecks, implement distributed tracing, and manage incident response with Prometheus, Grafana, OpenTelemetry, and Datadog. Define SLIs/SLOs, run blameless postmortems, and build production-ready observability pipelines for microservices and infrastructure.

Manage and monitor Datadog resources (monitors, logs, APM traces, dashboards, security signals, SLOs) via CLI commands and specialized agents, enabling observability workflows for infrastructure, applications, and CI/CD pipelines.

Scaffolds and drives a complete product lifecycle from vague ideas through PRD, strategy, architecture, implementation, testing, deployment, and go-to-market — with deterministic readiness scoring, traceability enforcement, and agent delegation at each stage.

Orchestrate the entire AI-assisted development lifecycle with enforced quality gates at every stage—from ticket creation and brainstorming through TDD implementation, parallel code review, PR management, and postmortem analysis.

Run structured product discovery workflows: brainstorm ideas from PM/designer/engineer perspectives, build opportunity solution trees, prioritize features/assumptions with ICE/RICE/risk matrices, design low-cost experiments, generate user interview scripts/summaries per Mom Test/JTBD, and spec metrics dashboards with Markdown outputs.

Generate Google-SRE-style blameless incident postmortems from a tracker URL. The agent gathers evidence from Slack, Datadog, and pull requests, builds a chronological timeline with evidence tags, and writes a markdown document with summary, impact, timeline, root cause, and action items.

Orchestrate full agile team ceremonies (standups, sprint planning, retrospectives, grooming) with specialized agents for PO, Scrum Master, Dev, QA, security, and tech lead roles, plus automated code review, security auditing, and project state management.