Professional AI Workshops

Here's how *you* become an AI developer — fast

Learn how to build great UX for AI agents that utilize task decomposition architecture.

Day 6 teaches task decomposition, building modular loops for robust, optimizable AI. Take control of your agent's logic and fix brittle LLM agents.

Level up your LLM evals with Day 5: build high-quality datasets, implement LLM-as-a-Judge, and harness the Data Flywheel to improve your agent.

Vibe-check your AI driven application with evals using Evalite to build better AI apps.

Set up your repo, configure Claude Code, and learn the interactive exercise workflow for the cohort

Master Claude Code essentials: session management, file prompting, IDE integration, rewind, bash commands, and permissions.

Learn LLM constraints, sub-agents, plan mode, and the plan-execute-clear loop to build features with Claude Code

Steer Claude Code with CLAUDE.md, progressive disclosure, agent skills, and automatic memory for consistent output

Break massive features into context-window-sized phases using PRDs, multi-phase plans, and tracer bullets

Build feedback loops into your Claude Code workflow with do-work skills, pre-commit hooks, and red-green-refactor TDD

Run Claude Code autonomously with Ralph loops, Docker sandboxing, and GitHub issue backlogs for hands-off development

Apply taste to your agentic workflow with HITL vs AFK task planning, Kanban-style issues, and cached research phases