Fireside Chat, Interview, Panel
The New AI Challenge: Trust, Control, and Scale | JetBrains x NVIDIA | RAISE Summit 2026
- The industry is predicted to transition from model training and reasoning into an era of agentic AI, with inference and enterprise adoption identified as the next critical chasms and inflection points.
- Adoption is expected to shift from individual users to the team level, requiring redesigned organizational structures that co-locate engineers, product managers, and UX designers to ensure ownership of context and customer problems.
- To support safe scale, organizations will need to implement organizational control panels that manage security, compliance, and cost without restricting developer activity, while maintaining human accountability for production outcomes.
- Agentic tools operating across repositories, CI/CD, and full cycles are predicted to be non-deterministic, necessitating advanced observability, traceability, auditability, and identity attribution for cost and outcomes.
- JetBrains plans to reinvent its system architecture by splitting it into three layers: individual tools connected to governance, a platform level for policy control over tools and models, and a heavy investment in team-level shared agent sessions.
- The company aims to build a no-vendor-lock-in system that unifies software development and infrastructure challenges, connecting IDEs and third-party terminals to a shared team environment for safe autonomy.
- Engineers are expected to adapt by learning to delegate to agents, thinking in systems, defining intent, and deepening their understanding of the product side of software development.
- Strategic focus is predicted to move toward managing AI-leveraged teams, reporting on effectiveness, and analyzing implementation impact, rather than focusing on metrics like token spend or adoption leaderboards.
- Industry leaders anticipate that faster-moving companies will outpace slower ones that focus on incorrect priorities, while orchestration across infrastructure and software layers is projected to become increasingly vital.
- A significant challenge remains in extracting value from AI through coordinated ecosystem efforts, with partners like NVIDIA viewing infrastructure software orchestration as critical to delivering on the agentic future.