Learn Go in a Day with Antigravity 2.0: A Step-by-Step Guide

Ever felt like you’re drowning in NPM dependencies, your Node.js runtime hogging memory like a hungry caiman? The author of the original Google Cloud write-up did too, and decided to reclaim their software stack by porting a CLI tool to Go in a day with Antigravity 2.0. Here’s how you can too.

Why Go? The Swamp’s Best Balance

The author needed a zero-dependency, single-binary CLI that, per the original write-up, launches in 2ms and uses only 11MB of memory. After auditing alternatives like Rust (too much borrow-checker friction), Python (interpreter overhead), Zig (lacks HTTP/archive libs), and Swift (cross-platform woes), Go struck the perfect balance: synchronous code, instant compilation, and a rich standard library. It’s the capybara of languages—friendly, efficient, and ready to wade through any swamp.

Step 0: Seed Your Learning Goals

Before writing code, define your boundaries. The author wanted a zero-dependency core with minimal external packages, fast execution, and a zero-trust security model, and prompted Gemini to audit alternatives and weigh tradeoffs. It even added constraints like input sanitization, path traversal blocking, and depth limits to prevent CPU hangs.

Step 1: Install Agent Skills

To learn Go best practices, the author installed the top community Agent Skill for Go: samber/cc-skills-golang. This skill pack guided the AI on idiomatic Go patterns, testing, and error handling. Grounding the environment first ensures code conforms to community consensus.

Step 2: Gap Analysis and Planning

The author asked Antigravity to plan a 100% functionality port of npx skills to Go, focusing on safety, best practices, and 90% unit test coverage. It pulled the repo, mapped out the architecture, and asked clarifying questions. The result: a clean types.go with agent configurations for Aider, Claude Code, Cursor, Zed, and more—all mapped from TypeScript to Go.

Step 3: Enforce a QA Loop with TDD

The project adopted a Test-Driven Development loop. Antigravity wrote table-driven tests first (e.g., frontmatter_test.go), then implemented the code. It also integrated error handling best practices from Preslav Rachev’s 10 Golang Error Handling Commandments. When the author noticed missing integration tests for multi-agent scenarios, targeted scenarios were prompted and Antigravity added them without touching production code.

Step 4: Parallel Subagents for CLI Commands

For the full suite of CLI commands (init, add, list, remove, find, update, etc.), the author spawned parallel subagents—each focused on one command. They analyzed flag permutations, drafted tests, and verified compilation. The main coordinator integrated changes and resolved conflicts. This Elephant and Goldfish pattern (from Google Research) keeps context manageable and catches gaps.

Step 5: Package Structure, Compilation, and CI/CD

Antigravity set up a clean main.go and a GitHub Actions CI workflow that builds on Ubuntu, macOS, and Windows. One surprise: even though the tool was migrated from Node to Go, the pipeline still depends on Node for GitHub Actions helpers. Also, code signing for binary distribution is a future task.

Step 6: Create a Reusable Agent Skill

To codify the migration workflow, the author asked Antigravity to create a /cli-to-go-migration skill. It documented five core rules: research before coding, initialize Git, import missing skills automatically, halt at breakpoints, and align edits to human vs. agent files. This skill is now reusable for future migrations.

Conclusion: The Journey Is the Reward

The author describes rebuilding skl in Go as a fun, educational experience. The biggest shift? Using Antigravity 2.0 outside an IDE forced them to stay the architect, not the debugger. They learned Go idioms, error handling, and testing patterns—all while building a tool that launches in 2ms. You can do the same. Dive into the swamp, and let Antigravity guide you.

Original announcement published on Google Cloud.