Antigravity & VS Code Journey
Engineering autonomous software development loops. Configuring state machine loop structures, subclassing prompt trees, injecting active VS Code editor context, and resolving build failures recursively.
timeline Growth Timeline
verified_user Skills Mastered
cached Currently Learning
- Context validation via AST parser arrays
- Dynamic retry loop optimization under build scripts
- Resolving complex workspace dependency conflicts
checklist Roadmap Checklist
Exit Guard Compile Tests
Auto-runs verification routines
Inheritance Prompt Schemas
Types inherited instructions
Self-correcting Lint Runs
Targeting active editor syncs
edit_note Garden Learning Notes
* Subclassing allows specialized sub-agents to inherit global formatting rules from a parent agent prompt.
* Injecting real-time compiler outputs (build logs, lint errors) allows models to self-correct code files recursively.
Connecting prompt structures directly to local environment APIs (like VS Code editor bounds and shell execution outputs) shifts AI from an assistant to a self-correcting collaborator. Designing loops that successfully build, test, and correct themselves is the ultimate coding frontier.
Favorite Resource Guides
Hand-selected reference documentations