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JSMastery – The Agentic Engineering Course
Learn The Agentic Engineering Workflow
JSMastery’s Agentic Engineering Course is designed to teach developers how to work effectively with AI coding agents while maintaining control over the engineering process. Rather than focusing on simple prompting or “vibe coding,” the course teaches a structured workflow for planning, building, reviewing, testing, documenting, and shipping software with AI.
Develop An Agentic Engineering Mindset
The course begins by explaining why AI-assisted coding can work well for a short period before becoming difficult to manage as a project grows. Students learn how to direct AI agents instead of relying on increasingly complex prompts and how to recognize when an agent begins drifting away from the intended task.
The training presents agentic engineering as a workflow problem as much as a technology problem, helping developers understand what should happen before an AI agent starts writing code.
Understand How Coding Agents Work
A dedicated section explains the fundamentals behind AI coding agents, including agent loops, context windows, codebase exploration, context rot, token usage, and topic switching.
Students learn why an AI model can produce strong results initially but become less reliable when too much unrelated information accumulates inside a session. Understanding these limitations provides the foundation for using agents more deliberately.
Master Context Engineering
Context engineering is another major part of the curriculum. The course teaches developers how to provide useful project information without overwhelming the AI with unnecessary context.
Topics include the different types of context, CLAUDE.md, AGENTS.md, and codebase structures that make AI agents more effective. The course also covers how project context can be maintained across different stages of development.
Use Skills, MCP, And Subagents
The program introduces several building blocks used in modern agentic development. Students explore tools, MCP, subagents, model selection, and reusable Skills.
The JSM Skills Workflow includes commands such as /scope, /audit, /architect, /develop, /check, /test, /document, /sync, and /debug. These skills divide software development into specific stages so developers can use AI agents for the parts of a project that require them.
Build And Ship Real Software
The course moves beyond demonstrations into practical workflows. Students work through scenarios including starting a new project, adding features to an existing application, working with legacy code, and diagnosing broken systems.
The curriculum includes demonstrations and challenges covering project scoping, architecture, development, verification, testing, review, documentation, and debugging.
Replace Vibe Coding With Structured Development
A key theme is the difference between quickly generating an application and building software that can continue to be maintained. The course demonstrates how an initially impressive AI-generated project can become difficult to manage without proper planning and engineering structure.
Students learn to stay involved by reviewing changes, directing the agent, verifying results, and making decisions before allowing the AI to continue.
Learn Through Practical Modules
The course contains thirteen modules covering setup, the agentic mindset, coding agents, building blocks, context engineering, Skills, workflow development, verification, testing, reviews, debugging, legacy code, and greenfield development. The published curriculum includes more than 80 lessons and over 10 hours of material.
Who This Course Is For
The Agentic Engineering Course is intended for people who already know how to write code and can navigate a terminal. It does not require machine-learning knowledge, advanced mathematics, or a specific programming framework, but it is not designed as a programming course for complete beginners.
Final Thoughts
JSMastery’s Agentic Engineering Course provides a structured approach to software development with AI coding agents. Through context engineering, reusable Skills, planning, development, testing, verification, review, and debugging workflows, the course focuses on helping developers use AI as part of a disciplined engineering process rather than simply generating code through prompts.
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Name of course: JSMastery – The Agentic Engineering Course
Original Price: $248| Sale Price: $35
Delivery Method: Instant Download (Mega)