Aurora Coach is an AI coaching platform for software engineering teams. Team members run personal coaching sessions with an AI that knows their role, their team's situation, and what they've been working on. It builds on previous conversations, so the coaching gets more relevant over time. Daily check-ins keep things consistent between sessions. The coaching covers six categories that matter for engineering teams: team foundation and culture, product discovery and development, technical excellence and engineering practices, delivery and operational excellence, adaptive planning and execution, and team enablement and strategic alignment. This is not generic advice. It is structured coaching grounded in established industry practices. Aurora Coach connects to the tools teams already use. The GitHub integration pulls metrics from repositories, deployments, and workflows, so coaching is based on real data, not self-reported assessments. GitHub is the first integration, with more on the way. Here is what makes it different: every coaching period builds on the last. The AI retains context across conversations, sessions, and connected data sources. Each conversation, each completed improvement, and each metric source that gets connected adds to the coach's understanding of the team and organization. This is a key philosophy of Aurora Coach, great teams are built one step at a time, and as the teams improve step by step so does the coaching they receive. At the team level, Aurora Coach aggregates individual sessions and connected metrics into analysis that shows strengths, growth opportunities, and maturity patterns across all six categories. It generates prioritized improvement suggestions with implementation guidance. Teams decide what to pursue and track progress through completion. For engineering leaders, it provides visibility into how teams are progressing, where support is needed, and how continuous improvement is developing across the organization. Who uses Aurora Coach: Aurora Coach is built for software engineering organizations that want coaching across every team without scaling coaching headcount to match. Individual contributors, team leads, and engineering managers use the coaching layer. Engineering directors, VPs, and CTOs use the leadership layer to see team health and improvement progress across their organization. Common use cases: scaling continuous improvement across multiple teams, building coaching habits tied to metrics teams already track (DORA metrics, cycle time, retention, incident rates), and giving leadership visibility into team health without adding overhead. Aurora Coach works alongside existing processes. The platform runs on enterprise-grade infrastructure with application-layer security controls, powered by world-leading AI models (see aurora-coach.com/AI-governance and aurora-coach.com/security). Founded in Sweden by Henrik Englund, with 20+ years across software development, architecture, leadership, and team coaching. Built from the conviction that teams do not need more frameworks. They need better conditions to improve.