Meetup #24: Embedded Debugging 2.0 – The AI Agent Perspective

Welcome to our 24th meetup!

### Concise Agenda

0. Gathering and talking a bit (Hebrew - but 5 minutes, bare with us)
1. Embedded Debugging 2.0 – The AI Agent Perspective - (Arie Gur , Silicon Validation @ Google
2. General discussion, feedback and planning of next meetup(Everyone @ Embedded Everywhere).

### Registration & Attendance

To attend this online event, please RSVP here and complete this registration form: https://forms.gle/T5DAsfa7pShyiHLu9. You will receive a calendar invitation with the Google Meet link between a couple of days and one hour before the meetup.

### Session Deep-Dives

Beyond the Blink: Scaling Embedded Systems with Antigravity AI IDE - From Initial Baseline to Functional Implementation (Arie Gur , Silicon Validation @ Google

Abstract:
Scaling an embedded project from a simple "Hello World" to a network-active application often introduces environmental drift and unpredictable system behavior. This session explores a disciplined approach to managing the firmware development lifecycle using the Antigravity AI IDE. We will demonstrate how the IDE’s core features move beyond ad-hoc development toward a stable, task-driven environment.
Using the ESP8266 as a target, we will walk through the practical orchestration of build environments, project dependencies, and system-level observability.

Technical Agenda:
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.