Mastering Agentic Coding Workflows with Antigravity

With the rise of agentic coding systems like Antigravity, the role of the software engineer is shifting from manual syntax typing to architectural design, pair-programming, and verification.

Pair-Programming with Antigravity

Antigravity operates in two distinct phases: Planning and Execution.

1. Planning: The agent researches the codebase, creates an implementation_plan.md artifact, and waits for user approval. This ensures alignment before any code is modified.
2. Execution: Once approved, the agent tracks its progress using task.md and modifies files incrementally while maintaining code style, comments, and lint integrity.

Leveraging Agent Skills

Antigravity uses modular plugins that expose specialized toolsets called Agent Skills. These skills allow the agent to interface with external APIs (like UniProt, ClinicalTrials, etc.) and developer instruments (like Chrome DevTools, Lighthouse, and performance tracers).

Best Practices for Agent-Guided Development

• Ignore Hygiene: Always check if a .antigravityignore file is present in the repository root. Without it, the agent's searches are slow and consume unnecessary context window space.
• Explicit Constraints: Set rules for variables, database imports, and file paths. For example, in Cassandra development, always enforce Uuid conversions to prevent silent query failure due to type mismatches.
• Incremental Verification: Run local test suites or docker containers between execution steps to catch compile or validation errors early.