Embedded Israel Meetup #24 - Building and debugging embedded products with Google Antigravity скачать в хорошем качестве

Embedded Israel Meetup #24 - Building and debugging embedded products with Google Antigravity

This is the recording of #embeddedisrael meetup #24 - https://www.meetup.com/embedded-israe... 0:00 - 2:55 - A summary of half a day building the new Embedded Israel website with Anti Gravity (Ron Munitz, apparently an Antigravity website builder [who has not updated his own comany website's in a decade, claiming who needs marketing when you just do the work - don't learn that from him] @ The PSCG ) 2:55 - Beyond the Blink: Scaling Embedded Systems with Antigravity AI IDE - From Initial Baseline to Functional Implementation (Arie Gur , Silicon Validation @ Google) Environment & Build Orchestration: A look at the Antigravity Bootstrap process, including multi-repo synchronization and the host-side configurations required to build and flash legacy SDKs reliably. The Master Plan Workflow: How the IDE uses a structured roadmap to manage tasks and project states, ensuring that the development environment remains consistent as features are added. Establishing the "Golden Path": Defining and monitoring baseline metrics—such as a 107KB stable free heap—to maintain system integrity through the IDE's automated metric tracking. Automated Triage & Analysis: A live demonstration of diagnostic workflows designed to identify and resolve system deviations, mapping exceptions directly back to source code. Project Persistence: Strategies for documenting hardware offsets and environmental quirks in the Antigravity Knowledge Base to ensure the project remains reproducible. What to Expect: This session is a technical deep-dive into the process of building embedded systems. Rather than focusing on a single protocol, we will demonstrate the lifecycle of a feature—from its initial task definition in the Antigravity Master Plan to its final deployment and verification on the hardware. Outcome: Attendees will gain a clear perspective on how the Antigravity AI IDE provides the scaffolding for better predictability, observability, and long-term stability in embedded engineering.