Towards self-driving codebases · Cursor
We’re making a part of our multi-agent research harness available to try today in preview.
Welcome! Type "help" for available commands.
$
Software Engineering Case Study
Summary
A team built a million-line product using zero manual code, relying on Codex agents. Engineers steered prompts to achieve high throughput by designing agent-legible environments and feedback loops.
Highlights
- Generated one million lines of code over five months using only Codex with no human-written code.
- Small team achieved 3.5 pull requests per engineer daily by steering agents via prompts.
- Success required agent-legible environments, structured knowledge, and progressive context disclosure.
- Product shipped successfully and used by hundreds of internal users.
- Engineers shifted focus to designing feedback loops and specifying intent rather than coding.
auto-generated
Context
Audience
Software Engineers and Technical Leaders
DomainSoftware Engineering
Formatlong-form article
Accessfree online
Topics
Related
OpenAI CodexPrompt EngineeringAI AgentsAgent-First DevelopmentSoftware Velocity
