Unlocking Developer Productivity with Google Antigravity CLI

I led a hands-on developer workshop that brought together around 40 developers, engineers, and AI builders to explore how coding agents can support modern software development without turning the workflow into unpredictable trial and error.

GDG Berlin at Ojin AixHaus, connected to WeAreDevelopers World Congress 2026.

The workshop used Google Antigravity CLI and a purpose-built teaching repository. Participants worked with TripLens, a small demo application organized into progressive branch checkpoints, so each exercise could introduce one new way to guide, inspect, and control an AI agent.

From Prompting to a Repeatable Workflow

The central idea was that capable agents do not automatically create productive workflows. They become more useful when developers provide clear context, define scope, inspect the result, and build verification into the process.

Through practical examples and guided exercises, we explored:

• Agent context using project guidance and reusable customizations
• Planning before editing to reduce assumptions and keep changes focused
• Inspecting and verifying work instead of accepting generated code at face value
• External context with MCP to connect agents with additional tools and information
• Automation and hooks for repeatable checks and development routines
• CLI commands and workflows that help developers stay in control

The exercises followed a shared loop: context, plan, execute, inspect, verify, add guardrails, and automate. Each checkpoint made the effect of the added guidance visible by comparing agent behavior against the earlier stage.

The goal was not simply to generate more code. It was to help participants develop a more deliberate way of collaborating with AI: less guessing, clearer scope, stronger checks, and a workflow they can reuse in real projects.