Complete AI Training
Sign inGet my AI kit

Your job's AI kit

Get your AI kit

Tell us who you are and what you do. We show you your kit right away and email you the link: skills, prompts, AI agents, MCP servers and courses for your job.

500+ jobs ready, and we make a kit for any other job. No payment needed to look.

Share

Video course · 15 chapters · 185 min · certificate

Agentic Engineering with Atomic: Verifiable Coding Workflows

Agentic engineering with Atomic, a verifiable coding-agent runtime: core terminology, session management and compaction, skills and context tags, multi-model orchestration, extensions and sandboxing, from skills to workflows, sub-agents, intercom messaging and human-in-the-loop graphs.

Become a memberAlready a member? Sign in

What you'll learn

  • Explain runtimes, loops and graphs in agentic engineering
  • Manage sessions with forking, cloning and compaction
  • Use skills and keep-context tags
  • Orchestrate multiple models
  • Convert skills into verifiable workflows
  • Use sub-agents, intercom messaging and human-in-the-loop steps

Chapters

15 chapters · 185:07
  1. 13:30 01Intro Members Atomic and core terminology A live masterclass introducing Atomic and the terms runtime, loop and graph.
  2. 8:37 02Sessions Members Session management and compaction Treeing, forking and cloning sessions, verbatim compaction, and comparisons.
  3. 13:20 03Skills Members Skills and keep-context tags Essential skills, keep-context tags, Atomic steering itself, and a multi-day agent demo.
  4. 7:48 04Models Members Multi-model orchestration Switching models per task using benchmarks.
  5. 12:46 05Extensions Members Extensions and sandboxing Using subscriptions, creating custom extensions, sandboxing, and aligning intent with primitives.
  6. 17:01 06Workflows Members From skills to workflows The prompt engineer skill, the evolution from skills to workflows, and built-in skills.
  7. 10:20 07Demo Members Converting a skill to a workflow A live conversion of a skill into a workflow.
  8. 14:46 08Sub-agents Members Sub-agents and intercom Sub-agents and peer-to-peer agent messaging.
  9. 13:21 09Engine Members Context handoff and the workflow engine Dynamically forking context via intercom and the workflow engine.
  10. 12:43 10Patterns Members Built-in workflow patterns Common workflow patterns, applied to an example app.
  11. 13:50 11Workflows Members Running workflows Running workflows based on patterns used at leading AI labs.
  12. 14:00 12Graphs Members Visualizing and steering graphs Visualizing workflow graphs, pausing and steering, plus Q&A on UX laws and multiple accounts.
  13. 13:30 13Build Members Creating a custom workflow Atomic as an extended fork of Pi, and building a deterministic custom workflow.
  14. 11:58 14HITL Members Human-in-the-loop workflows Human-in-the-loop steps with custom UI, and workflow design questions.
  15. 7:37 15Wrap-up Members Next steps and real impact Future sessions and the real productivity impact of agents.

Jobs this course suits

Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.

AI Engineers