Why Agent Orchestration Beats Vibe Coding
The Problem with Line-by-Line Assistance
Vibe coding tools like Cursor and Copilot help developers write code faster, one suggestion at a time. But they still require constant human supervision — switching between files, resolving conflicts, running tests, fixing regressions. The developer remains the bottleneck.
Every time you accept a suggestion, you need to verify it fits the broader context. You check types, run tests, scan for side effects. For a single function, this is manageable. For a feature that spans 10 files, it becomes a full-time coordination job.
Agent Orchestration: A Different Model
Draft takes a different approach: agent orchestration. Instead of assisting you line by line, Draft breaks your feature into independent subtasks, assigns each to an AI agent, runs them in parallel without conflicts, and verifies the output automatically.
You describe the feature once and review one clean diff. The difference is like a sous chef (Copilot) versus a kitchen brigade (Draft) — one helps you cook faster, the other runs the entire kitchen while you taste the final dish.
How Parallel Execution Works
Draft uses DAG-based dependency planning to determine which subtasks can execute simultaneously. Each agent operates on an isolated branch scoped to its specific subtask. When agents finish, Draft's merge engine combines the results and runs automated verification — tests, type-checking, linting — at each step.
If an agent's output fails verification, Draft retries with additional context rather than passing broken code forward. The result is a single pull request with no merge conflicts and no broken tests, even when five agents contributed to it.
When to Use Which
Copilot and Cursor are excellent for exploratory coding, small edits, and learning new APIs. If you are writing a single function or fixing a bug, line-by-line assistance is fast and effective.
Agent orchestration shines when you need to build a complete feature: adding an API endpoint with database migrations, tests, documentation, and frontend components. These multi-file, multi-step tasks are where human coordination becomes the bottleneck and parallel agents deliver the most value.
The future of software development is not choosing one over the other. It is using the right tool for the right task — and having orchestration available when features need to ship fast.