Agentic Infrastructure for Engineering Teams
Build the orchestration layer, agent definitions, and operational practices that make AI-assisted engineering reliable at scale.
Workshop Overview
A two-week cohort where you build production agentic infrastructure from the ground up. Not just "how to use AI tools" — how to design the systems, agents, orchestration, and operational practices that make AI-assisted engineering work reliably across a team.
What You'll Build
By the end of this workshop, you'll have:
- A working orchestration system that coordinates multiple AI agents
- Specialized agent definitions for your actual codebase and workflows
- CI/CD integration that runs agents as part of your development pipeline
- Monitoring and cost controls for production agent usage
Who This Is For
- Engineering leads adopting AI tooling across their team
- Platform engineers building internal developer tools
- Senior developers who want to move beyond ad-hoc AI usage to systematic infrastructure
Prerequisites
- Experience with at least one AI coding tool (Claude Code, Copilot, Cursor, etc.)
- Comfortable with bash scripting and CI/CD pipelines
- Access to an Anthropic API key
Schedule
- Live sessions: Tuesdays and Thursdays, 1:00–2:30 PM ET
- Async work: ~4 hours per week between sessions
- Office hours: Fridays, 12:00–1:00 PM ET (optional, drop-in)
Cohort Size
Limited to 10 participants for hands-on feedback and code review.
Course Outline
- The Agent Infrastructure Problem Apr 7
- Project Configuration That Actually Works Apr 9
- Designing Effective Agent Definitions Apr 11
- Orchestration Patterns and Pipeline Design Apr 14
- Agent Quality: Testing, Evaluation, and Iteration Apr 16
- CI/CD Integration and Automated Workflows Apr 16
- Operational Practices for AI-Assisted Teams Apr 18
- Final Project: End-to-End Agent Infrastructure Apr 18
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