Agent-Driven Agile: Engineering Process Design for Small Startup Teams
Learn to architect and run a streamlined agile development process tailored for a seven-engineer startup team leveraging autonomous coding agents. By the end of this course, you will be able to restructure agile rituals, standardize agent contexts, automate output testing, execute high-throughput reviews, and accurately measure synthetic velocity.
- Intermediate
- About 6 hours
- English
- 5 modules
- 10 lessons
Created by Learnvoro Labs
What you'll learn
- Restructure traditional sprint planning, daily standups, and retrospectives to integrate autonomous AI coding agents into 7-engineer team workflows.
- Construct standardized system prompts, repository context files, and specification templates that enforce consistent code output across multiple agents.
- Implement multi-layered automated testing suites designed to reliably validate and catch regressions in high-volume, agent-generated code.
- Establish tiered, high-throughput code review protocols that eliminate human review bottlenecks while preserving code quality and system architecture.
- Formulate quantitative velocity and efficiency metrics tailored to track synthetic output, cycle times, and human intervention rates across the engineering squad.
How you'll learn
- Step-by-step lessons10 lessons
- Video lessonsWatch at your own pace
- Visual diagramsIdeas made visible
- In-depth reading
Prerequisites
- Familiarity with standard Agile software development methodologies (scrum rituals, sprint backlog management, code review workflows).
- Working understanding of general LLM coding capabilities, constraints, and prompt interaction patterns.
- Foundational knowledge of CI/CD pipeline automation and Git version control strategies.
Who this course is for
- Technical startup founders and founding engineering leaders structuring delivery workflows for small teams where AI agents generate the bulk of production code.
Course content
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