Implementation Plans & Artifacts
Review structured migration plans, dependency graphs, and phased rollout strategies before the agent executes cross-repo changes.
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Legacy & Codebase
Migrations
Large codebase migrations often stall on cross-file dependencies and repetitive updates. Google Antigravity helps teams plan and execute large-scale refactoring by tracking type safety, updating interfaces, and validating changes across stacked pull requests.
Multi-File Dependency Tracking
Map transitive dependencies across hundreds of source files, schemas, and RPC boundaries before touching a single line of code.
Reusable Migration Harnesses
Coordinate parallel subagents to apply consistent framework, language, or API migrations across dozens of microservices.
Continuous Test Verification
Compile, run test suites, and check behavioral parity at every step of a stacked pull request sequence.
Relevant Features for
Legacy & Codebase Migrations
Parallel Subagent Orchestration
Spawn specialized worker agents in isolated worktrees to port modules, update build targets, and validate unit tests in parallel.
Context-Aware Codebase Indexing
Ground large-scale language and framework ports in your actual repository conventions, custom rules, and interface definitions.
Relevant Stories
“For a payments gateway migration spanning 49 RPC methods, we pointed Antigravity at our migration guide, code generators, and 18 prior pull requests. It first flagged 10 undocumented edge cases in the guide, and then helped us run a repeatable workflow that produced 47 tested pull requests across three microservices over two days.”
“We used Antigravity to migrate a legacy support chatbot onto our newer retrieval-augmented generation framework. By grounding the agent in our internal SDK headers and architecture docs, we were able to port the search client, add topic-filtering rules, and complete the migration in an afternoon instead of the several weeks we had budgeted.”
“We used Antigravity to help port our lab's 6-axis robotics control software from legacy LabVIEW into Go. Translating the control logic into a standard Go codebase with unit tests has made it much faster for our engineers to debug hardware issues and add new control routines.”
“Our team used Antigravity to refactor our user intent models from TensorFlow to JAX. We had the agent translate the model layers alongside numerical parity tests for each block, which helped us catch shape and precision differences early in the migration.”