According to Claude's recent 2026 Agentic Coding Trends Report, software development is no longer just about "writing code"โit's about how well you orchestrate and supervise AI agents.
AI is an incredible collaborator, but ensuring quality and security requires human oversight. We are moving toward a structure of collaboration rather than total delegation.
The problem? Setting up this collaboration structure manually via prompts every single time is exhausting.
The Problem with Single Agents
If you've used Antigravity or other CLI-based agents in real-world projects, youโve likely faced these frustrations:
- Ignored Skills: The agent ignores its defined "Skills."
- Amnesia: "Rules" are forgotten halfway through a long conversation.
- Infinite Loops: The agent enters an infinite loop of uncontrolled responses.
- Busy but Useless: It works hard, but doesn't actually do what you asked.
We often blame the model, but in reality, this is an orchestration problem. We didn't need to "write better prompts." We needed to provide a default agent collaboration structure.
That question started oh-my-ag.
What is oh-my-ag?
oh-my-ag is a role-based agent orchestration layer for Antigravity.
Instead of shoving every bit of context into a single agent, it separates responsibilities clearly. The Orchestrator controls the flow, sub-agents focus on their specific domains, and context is shared via a common memory stream.
One-line Installation
You can get a full agent team running in your project instantly:
bunx oh-my-ag
This command automatically configures a Role-Based Agent Set:
- PM (Product Manager): Clarifies requirements and breaks down tasks.
- Frontend & Backend: Handle implementation in their respective domains.
- Mobile: Handles Flutter-based mobile implementation.
- QA: Verifies implementation against requirements and checks edge cases.
- Debug: Analyzes failure causes and suggests fixes.
Each agent comes with optimized Skills and prompt structures for its role, all tied together by the Orchestrator.
Why You Need This
1. Mitigating Model Volatility
Model performance (like the recent fluctuations in Gemini 3 Pro) can change overnight due to updates or server loads. A single-agent structure with a massive prompt is incredibly fragile to these changes.
-
Solution:
oh-my-agsplits roles and responsibilities. By using Serena Memory as a shared brain, decisions and intermediate results are persisted. Even if a specific model response wobbles, the overall context remains intact.
2. Clear Human Oversight Points
The goal isn't to remove humans from the loop, but to clarify where the human needs to be.
- Solution: Because roles like PM, QA, and Debug are separated, it becomes structurally obvious where AI has finished its job and where human judgment is required.
3. Stop Reinventing the Prompt
Typing out role descriptions, rules, and approval processes every time is unproductive.
-
Solution:
oh-my-agautomates the prompt settings and connection structures via role-specific Skill bundles and a parallel-execution-ready orchestrator.
Key Features
- Role-Based Specialist Agent Sets
- Parallel Execution Orchestration Layer
- Multi-CLI Support (Gemini CLI / Claude CLI / Codex CLI)
- Serena Memory Integration
- MCP-specific Tool Scope Control
- Automated Conventional Commits
Conclusion
In 2026, AI-Native development isn't about "how to use a tool"; it's about "how to manage the workflow."
This orchestration layer is designed with the first-fluke/fullstack-starter structure in mind and currently handles over 50 commits a day in full-stack web/mobile applications.
If you are already using Antigravity, stop wrestling with prompts. Use oh-my-ag and AI Pro to melt through those tokens across your 6 accounts efficiently.
Check it out on GitHub: first-fluke/oh-my-ag
Top comments (0)