​Agentic AI in Engineering

​Autonomous Intelligence. Engineering the Future.

​Agentic AI in Engineering is a focused event series exploring how autonomous AI systems are changing the way engineers design, build, test, operate, and improve complex systems.

​The program brings together engineers, technical founders, AI builders, investors, operators, researchers, and enterprise leaders for practical conversations about what happens when AI moves beyond assistance and begins to:

​Plan. Reason. Act. Learn.

​The focus is not simply on faster coding.

​It is on how agentic systems can transform the entire engineering lifecycle—from requirements and design to implementation, validation, deployment, observability, and continuous improvement.

​What We Explore

​Autonomous Engineering Workflows

​How AI agents can coordinate multi-step engineering work across requirements, design, implementation, testing, deployment, and operations.

​Engineering Copilots

​How context-aware AI systems can augment engineers with analysis, design support, code generation, decision support, and technical reasoning.

​Systems Intelligence

​How agentic AI can understand complex systems, dependencies, performance, telemetry, architecture, and operational context.

​Human + AI Collaboration

​How engineers and intelligent agents can work together to increase speed, creativity, precision, and technical leverage.

​Continuous Improvement

​How systems can observe outcomes, learn from feedback, identify problems, and improve engineering decisions over time.

​Reliable Agentic Systems

​How to design AI-driven engineering workflows with validation, traceability, observability, safety, and human oversight.

​Core Themes

​Agentic software engineering

​Autonomous engineering workflows

​AI-assisted system design

​Requirements analysis

​Code generation and review

​Testing and validation

​DevOps and deployment automation

​Systems observability

​AI for hardware and robotics

​Simulation and optimization

​Engineering knowledge systems

​Continuous learning systems

​Human + AI engineering teams

​Reliable and responsible AI

​Who Should Attend

​Engineers

​Software, systems, mechanical, electrical, robotics, infrastructure, DevOps, manufacturing, and technical leaders exploring AI-native engineering workflows.

​Technical Founders

​Building companies where AI, autonomy, software, robotics, infrastructure, or engineering intelligence are core to the product.

​AI Builders

​Designing agents, reasoning systems, orchestration platforms, developer tools, models, and autonomous workflows.

​Engineering Leaders

​CTOs, VPs of Engineering, technical directors, architects, and operators evaluating how agentic systems can improve engineering organizations.

​Investors

​Exploring the emerging market around AI-native engineering, developer infrastructure, robotics, automation, and intelligent systems.

​Researchers & Innovators

​Working on the technologies that will define the next generation of engineering.

​Why Attend

​Understand the shift from AI assistants to AI agents.

​See how engineering changes when AI systems can coordinate work instead of simply respond to prompts.

​Explore the full engineering lifecycle.

​Go beyond coding into design, testing, deployment, observability, optimization, and operations.

​Learn from builders.

​Hear from people actively developing and deploying intelligent engineering systems.

​See where the leverage is.

​Understand which engineering tasks can be automated, augmented, or transformed through autonomous intelligence.

​Prepare for the agentic engineering organization.

​Explore what engineering teams, workflows, and technical leadership look like when humans and AI operate together.

​The Bigger Question

​Engineering has always been about turning intent into reality.

​Agentic AI changes how that process happens.

​When intelligent systems can interpret requirements, reason about tradeoffs, generate designs, implement solutions, test outcomes, observe performance, and learn from results, the role of the engineer evolves.

​The future is not engineers versus AI.

​It is engineers operating with increasingly capable autonomous systems.

​The opportunity is to build that future deliberately.

​Agentic AI in Engineering

​Observe. Understand. Improve.

​From insight to impact.

​Engineer what’s next.