Source note
Learning faster with Antigravity
Summary
The post describes a repeatable Antigravity workflow for building Flutter frontends for Python ADK agents while learning the backend code. Its main claim is practical: a developer skill can capture each fix so later generated apps start with better guidance.
Problem
- The author needed to build a Flutter client for a Python agent built with Google Agent Development Kit, despite limited Python experience and no prior ADK experience.
- A generated app alone was not enough because the author wanted to understand the code and the backend interface.
- The frontend had to handle real ADK behavior, including streaming events, tool calls, platform network permissions, markdown output, and web compatibility.
Approach
- The author used two Antigravity agents: a coder agent to run the workflow and generate artifacts, and an author agent to review outputs and update the skill.
- The workflow had 5 repeated steps: run the current skill, inspect notes and code, find gaps, update the skill and reference files, then delete generated files and rerun.
- The skill guided Antigravity through staged deliverables:
AGENT_INTERFACE_NOTES.md,FRONTEND_USAGE_NOTES.md,FRONTEND_ARCHITECTURE_NOTES.md,FRONTEND_DESIGN_NOTES.md, then Flutter code generation, run, and test. - Each failed run became a rule or guide update, covering items such as gitignore handling, phase review pauses, platform entitlements, markdown rendering, lints, sealed classes, scrolling, and HTTP networking.
- For ADK partial streaming events, the frontend was changed to accumulate
event.partialchunks inAgentProviderand only add completed events to the session list.
Results
- The author reports 13 total iterations before reaching a shareable version of the
flutter_frontend_for_adkskill. - The first 6 iterations produced the main discovery, usage, architecture, design, and code-generation guidance.
- The next 7 iterations fixed concrete frontend issues: macOS/iOS network permissions, markdown formatting, linting and formatting, sealed message types, chat auto-scroll, web crashes from
dart:io, partial event aggregation, and tool invocation display. - The skill produced 4 named planning documents before code generation: agent interface notes, frontend usage notes, frontend architecture notes, and frontend design notes.
- The post gives no benchmark results, accuracy scores, latency numbers, or comparison against another coding assistant.
- The strongest concrete claim is that the author built a reusable Flutter frontend skill for ADK agents in a few hours and gained enough ADK understanding to debug recurring failures directly.