Replit CEO Amjad Masad Envisions the AI Self-Driving Company
Replit CEO Amjad Masad says AI agents now handle support triage and coding grunt work, while people retain judgment, taste and architectural control today.
Summary
Replit CEO and co-founder Amjad Masad said on Thursday in San Francisco that more reliable AI agents have transformed the company’s operations over the past year, creating what he calls a “self-driving company.” Agents perform much of the routine work while employees focus on judgment, taste, architecture and deciding what to build. His comments were published October 16, 2026.
Replit’s support workflow illustrates the model. An agent initially triages each ticket by examining GitHub issues, the codebase and Linear tickets, then gives a person the context needed to choose a response. If that employee approves a patch, one click deploys another agent to implement it, leaving human judgment inside an otherwise agent-driven loop. Masad said this shifts jobs rather than removes them, producing more discussion, whiteboarding and architectural planning. Replit’s business customers are similarly exploring whether agents can raise productivity and satisfaction by replacing boring tasks with more creative work, although Masad warned that much of America and the world remains unprepared for the change.
Positives
- Replit agents inspect GitHub issues, its codebase and Linear tickets before employees review support requests.
- One click can deploy another agent to implement a patch after a human approves the response.
- Employees now spend more time discussing priorities, whiteboarding and planning software architecture.
- Business customers are exploring agents as tools for improving productivity, creativity and workplace satisfaction.
Risks & concerns
- Much of America and the world remains unaware of the workplace shift and could find its arrival surprising.
- Human judgment and taste remain essential inside Replit’s agent-driven workflow, preventing complete automation.
- Masad provided no adoption figures, productivity measurements or timetable for broader self-driving company deployment.