Receiving Managed Agent Async Jobs Through a Propose, Verify, Adopt Pipeline
The Managed Antigravity Agent, now in public preview via the Gemini API, autonomously plans, executes, and verifies inside a sandbox. Here is a design for catching its async deliverables through three stages — propose, verify, adopt — before they reach production, with implementation code and operational pitfalls.
Making Apple Foundation Models and Gemini Interchangeable: A Three-Tier Abstraction for In-App AI
After WWDC26 opened Apple Foundation Models to qualifying developers and announced server-side Gemini integration, I redesigned my apps around a three-tier abstraction — on-device, Private Cloud Compute, and third-party APIs — behind a single Swift protocol.
Running Gemini's Managed Agents API: Where Cloud Execution Ends and My Local Agents Begin
A hands-on record of launching Gemini's Managed Agents (public preview) from Python — polling, artifact retrieval, and a cost guard — plus five criteria I use to decide what stays on my local CLI agents.
Antigravity × htmx: Building an HTML-Driven AI Chat App — Zero JavaScript, Full Interactivity
Build an AI chat app with Antigravity IDE, htmx, FastAPI, and Gemini API — zero JavaScript. A hands-on tutorial for hypermedia-driven development with Python.