Building The New AI Tool Stack

VIP Dinner for Engineering Leaders

AI Tinkerers × Kiro × Tensorwave

Join us for an intimate VIP dinner on May 7th in Seattle, gathering a curated group of engineering leaders for a candid, off-the-record conversation about the AI tool stack being rebuilt right now - from silicon to IDE.

The last two years rewrote what a modern engineering org looks like. New inference hardware is reshaping the economics of running models in production. AI-native development environments are changing how engineers actually work day to day. The orchestration, evaluation, and deployment layers in between are still being invented in public. Every engineering leader in the room is making real decisions about which pieces to bet on - and learning from each other’s scars.

This dinner, co-sponsored by Kiro and Tensorwave, is for the CTOs, VPs of Engineering, and senior technical leaders making those calls.

☝️ Apply Now - Limited to 20 Attendees ☝️

What to Expect

• Peer-Level Depth: A room of senior engineering leaders wrestling with the same stack decisions. No vendor pitches, no panel stage - one big conversation.
• Off-the-Record Candor: Chatham House rules. Share what’s actually working, what’s not, and what you’re reconsidering.
• Cross-Stack Perspective: Conversation that moves from compute and infra economics (where Tensorwave lives) to dev experience and AI-native workflows (where Kiro lives) - and everything between.
• Sponsors in the Room: Kiro and Tensorwave’s senior team will be at the table - to participate, not to pitch.

Key Details

• Date: Thursday, May 7, 2026
• Time: 6:00 PM - 9:00 PM PDT
• Location: Private venue in Seattle (address shared upon confirmation)
• Format: Seated dinner + structured roundtable
• Capacity: 20 engineering leaders

Who Should Attend

• CTOs, VPs of Engineering, and Heads of AI at companies deploying AI in production
• Principal and Staff Engineers leading platform or infrastructure teams
• Engineering Directors setting tooling standards for AI-native teams
• Founders of technical companies making stack decisions their teams have to live with

This dinner is intentionally curated to keep the strategic and technical bar high. If you’re making tool-stack calls that other people have to live with, you’re in the right room.

Discussion Topics

We’ll shape the conversation around the decisions engineering leaders are actually making right now:

• The New Compute Layer: What the shift in AI inference hardware means for cost, latency, and deployment strategy - and how teams are thinking beyond the default.
• AI-Native Development: How spec-driven, AI-first development environments are changing how code gets written, reviewed, and shipped - and what that means for team structure.
• The Middle of the Stack: Orchestration, evaluation, observability, agent tooling - where the gaps still are, and how leaders are patching them.
• Build vs. Buy in 2026: Which layers of the stack warrant in-house investment and which are better delegated to vendors - a pragmatic, no-holds-barred take from the room.

Our Sponsors

Tensorwave

Tensorwave is building high-performance AI infrastructure designed for teams pushing models into production. Focused on next-generation GPU compute and optimized inference environments, TensorWave gives builders access to scalable, cost-efficient hardware without the friction of traditional cloud bottlenecks. Their platform is engineered for real workloads-training, fine-tuning, and serving models with predictable performance and minimal overhead. For teams navigating the tradeoffs between speed, cost, and reliability, TensorWave provides the raw compute layer to actually ship.

Kiro

Kiro - Kiro is an agentic development environment that bridges the gap between design docs and working code. By utilizing spec-driven development and autonomous agents, Kiro helps engineers turn prompts into executable specifications, verifiable tests, and production-ready software. Whether you are using the IDE or CLI, the platform enables you to zoom out to the specification level to manage complex features across larger projects with fewer iterations. Kiro brings mature engineering practices to AI coding, providing clear tracking and accountability while automating tedious tasks like documentation and unit test maintenance.