When Streaming Works Locally but Arrives All at Once in Production — Field Notes on Proxy Buffering and Silent Stalls
Stream Gemini through Antigravity over SSE and it flows token-by-token on localhost, then freezes for seconds and dumps the whole answer in production. Field notes on measuring the stall first, then killing proxy buffering, idle disconnects, and reconnect-driven double generation.
Replay-Driven Agent Design — Time-Travel Debugging for Production AI Agents
Reproduce one-off agent failures from production on your laptop. A practical three-layer replay design — event, state, and decision — built on top of Antigravity's Manager Surface, with TypeScript code you can drop into your own stack.
Antigravity Background Agent Advanced Guide — Task Design, Parallel Execution & CI/CD Integration
From Background Agent internals to task design, AGENTS.md optimization, git worktree parallel execution, GitHub Actions integration, and cost management — everything you need to transform Background Agent from a novelty into a production workhorse.
Antigravity Multi-Agent Design: 7 Common Pitfalls and How to Fix Them
Deep dive into 7 critical multi-agent design pitfalls: context sharing failures, loop detection misconfiguration, timeout issues, race conditions, credit inefficiency, error propagation, and async debugging. Includes observability patterns and production-ready templates.
Antigravity Context Engineering Masterclass: Advanced Techniques to Maximize AI Accuracy in Large-Scale Projects
A comprehensive advanced guide to mastering context engineering in Antigravity. Learn AGENTS.md design patterns, Knowledge Items optimization, dynamic context injection, and team-wide context consistency strategies that keep AI accuracy at its peak across massive codebases.
Orchestrating a Team of Specialist Agents Solo: Practical Multi-Agent Design in Antigravity
Master multi-agent development in Antigravity. Deep dive into Manager Surface architecture, specialist agent design, AGENTS.md configuration, common patterns, and production deployment strategies for enterprise-grade systems.
Antigravity × Monorepo Development Masterclass — Optimize AI Context in Nx & Turborepo Environments for Seamless Cross-Package Changes
A deep-dive guide to maximizing Antigravity in Nx and Turborepo monorepos. Covers per-package AGENTS.md design, cross-package type-safe refactoring, AI-optimized build pipelines, and team-level workflow standardization for large codebases.
AI-Powered Code Quality in Antigravity Editor: Automated Reviews, Test Generation & CI/CD Quality Gates
A comprehensive advanced guide to building a production-grade code quality assurance system with Antigravity Editor—covering AI review automation, intelligent test generation, and CI/CD quality gate integration to raise the bar across your entire team.
Antigravity AI Development Workflow Acceleration: A Complete Master Guide — Context Management, Task Decomposition, and Parallel Processing
A comprehensive guide to fundamentally boosting your development speed with Antigravity. Master context management, task decomposition, Planning/Fast mode selection, and parallel processing strategies that professionals use every day.
Antigravity × gRPC & Protocol Buffers — A Practical Guide to High-Performance Microservice API Design
Learn to design and implement gRPC + Protocol Buffers microservice APIs using Antigravity's AI agents. Covers schema-driven development, streaming patterns, authentication, and error handling for production systems.
Antigravity × Custom Code Generator — Building Project-Specific Code Generation Pipelines with Template Engines + AI Agents
Learn how to build custom code generators by combining Antigravity's AI agents with template engines. Master Hygen, Plop, and custom TypeScript scaffolding integrated with AGENTS.md to elevate your team's code quality and productivity.
Antigravity × Custom MCP Server Production Guide— Building External Tool Integrations at Scale
Build production-grade custom MCP servers for Antigravity: architecture design, authentication, rate limiting, error handling, testing, and deployment patterns for integrating external APIs and internal tools.