More Agents Won't Speed Up Every Part of Your Pipeline — Designing the Parallel/Serial Line
Antigravity 2.0's parallel multi-agent execution is powerful, but adding agents doesn't make everything faster. Here's how I decide which work to parallelize and which to keep serial, derived from invariants and a dependency graph, with examples from running several sites as a solo developer.
How to Orchestrate Multiple Agents: Drawing the Line Between Parallel and Serial Work
Antigravity 2.0 brings true parallel execution across multiple agents. But making everything parallel does not make it faster. Which work should fan out in parallel, and which should stay serial? This is an orchestration design that does not fall apart, viewed through dependencies and contention.
Parallel Agents Quietly Burn Through Your Quota — A Self-Defense Circuit Breaker When Limits Are Invisible
Even on AI Ultra's high ceiling, running parallel agents can exhaust your allowance without warning and leave later runs half-failing. Assuming the limit is invisible from outside, here is a circuit breaker that records consumption on your side and applies the brakes, drawn from real operation.
Running Multiple Agents on One Repo Breaks It — Isolating Work Areas with Worktrees
When you run several Antigravity 2.0 agents against the same repository, you hit index.lock collisions and half-staged commits. Here is an isolation design using git worktree and projects that gives each agent its own work area, drawn from an incident I ran into in production.
When Parallel Antigravity Agents Fight Over the Same File — Preventing Conflicts and Surviving Real-World Race Conditions
Running Antigravity agents in parallel surfaces five concrete kinds of conflict and three classic race conditions. This guide walks through each one with reproducible failures and the locking, optimistic, and queue-based fixes I actually run in production.
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.
Autonomous Task Management with Claude AI Agents — TodoWrite & Parallel Execution Patterns
Learn how to implement autonomous task management with Claude AI agents. Detailed guide on TodoWrite, parallel execution patterns, and practical code examples.