Hard Parts of Agentic Engineering
Build AI Agents for Automation
Hard Parts of Agentic Engineering

Hard Parts of Agentic Engineering
Agentic engineering is the practice of building software in collaboration with AI coding agents that generate and execute code in a loop until a specified goal is met. The defining capability is code execution. Without it the LLM output is limited, but with it, agents can iterate until the software actually works. Rather than replacing software engineers, this shifts their focus toward the higher-order craft of determining what to build, specifying problems at the right level of detail, and verifying that results are robust and credible. Developers who harness coding agents effectively can become significantly more ambitious and productive, delivering more impactful software than they could alone.
What You Will Master
- Build an AI agent that reacts to screenshots and automates actions.
- Architect a fundamental 3-part flow behind every AI agent: trigger, context, and action.
- Learn strategies for writing code with AI, running functions, and integrating with tools like Google Calendar or your to-do app.
Who is this for?
This workshop is for software engineers of all levels who have experience working with coding agents like Claude Code, OpenAI Codex, or Gemini.
Replay coming soon.
Hard Parts of Agentic Engineering
Build your own AI agent: one that watches for visual cues (like a screenshot of a calendar invite or a coding bug) and takes contextual, meaningful action on your behalf, all without a single click.
Warning: High intensity learning environment.
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A Full Day of Mastery.
Live, interactive workshops typically cost hundreds. Get the full experience at no cost โ join a full-day session, ask questions in real time, and learn directly from expert instructors.
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