Agentic Engineering Masterclass: Part 2 on Context, Harnessing, and Atomic

X postRay FernandoTutorial

Ray Fernando and Alex Lavaee have released part two of their agentic engineering masterclass. Condensed from a livestream into under an hour, the session covers context and harness engineering, subagents, and verifiable workflows using the open-source runtime Atomic.

Key points

  1. Part 2 of the masterclass provides a one-hour condensed recording of a livestream.
  2. Key topics include context engineering, harness engineering, and the use of subagents.
  3. Demonstrates practical implementation of custom verifiable workflows across any tech stack.
  4. Features Atomic, an open-source verifiable coding agent runtime.

Why it matters

Scaling autonomous coding agents in production requires robust context management and verification. This masterclass outlines practical techniques and tooling designed to make AI-assisted software engineering more reliable across diverse technology stacks.

Analysis

Rather than focusing on standard prompting, the material highlights infrastructure and architecture for agentic development. By emphasizing test harnesses, subagents, and verifiable runtimes such as Atomic, the creators present a structured framework for integrating autonomous agents into development pipelines.

Original post

Ray Fernando

@RayFernando1337 · 11 September 2026

Condensed to under an hour we have part 2 of agentic engineering masterclass. t.co/gOW1tHm4dI

41 likes0 replies64 bookmarks5.8k views

View on X

Mentioned links

Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

Related entries

Similar in content, found by the AI search.

  • X post:Luna Tech

    OpenAI Workshop: Building Agentic Systems with Codex

    Luna Tech highlights a one-hour OpenAI workshop demonstrating how to build agentic systems with Codex from scratch, covering subagents, prompt patterns, persistent goals, and automated loops.

    4kbookmarks151.7kviews

    AI & LLMs· Resource

  • Link:IndyDevDan

    Tactical Agentic Coding: Moving Beyond In-the-Loop AI Assistance

    Tactical Agentic Coding (TAC), created by IndyDevDan, is a training framework focused on advancing from basic interactive AI coding to fully autonomous agentic engineering. Rather than remaining 'in the loop' via conversational prompting, software engineers are trained to combine deterministic code with non-deterministic agents like Claude Code to orchestrate self-correcting development pipelines.

    AI & LLMs· Resource

  • Repository:walkinglabs/learn-harness-engineering

    Learn Harness Engineering: Open-Source Course for Reliable AI Coding Agents

    The open-source project learn-harness-engineering by walkinglabs provides a project-based beginner curriculum on harness engineering for autonomous coding agents. It teaches how to build runtime environments, state management, verification routines, and control systems needed to operate AI agents reliably.

    14.8kstarsTypeScript

    AI & LLMs· Tutorial

  • Link:hanakoxbt

    Five Layers: A Blueprint and Course for Agent Engineering

    The 'Five Layers' online course by hanakoxbt structures AI agent development into five complementary tiers: prompt, context, harness, loop, and graph engineering. Eschewing heavy external frameworks, it focuses on self-contained templates, configuration files, and predictable workflows to make LLM agents production-ready.

    AI & LLMs· Resource

Back to the knowledge base

Let's talk about your project

Get in touch

Locations

  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

Parts of this content were created with the assistance of AI.