Become an Agentic Engineer (Agentic Engineering Course + Agentic Engineering Workshop)

Learn agentic engineering with JS Mastery’s complete workflow for building, testing, debugging, and maintaining production-ready software with AI.

Build Real Software With AI—Without Losing Control of the Code

AI coding tools can generate impressive results quickly, but speed alone does not produce reliable software. Without clear specifications, architecture, context management, testing, and documentation, AI-generated code can become difficult to understand and expensive to maintain.

Become an Agentic Engineer by JS Mastery teaches developers how to direct AI agents through a structured software-engineering workflow. Rather than relying on isolated prompts or “vibe coding,” the program focuses on making technical decisions yourself while using AI to execute, verify, and document the work.

The system is designed to work across Claude Code, Cursor, Codex, Gemini CLI, GitHub Copilot, and other AI coding tools. Its central lessons concern engineering judgment and workflow design rather than dependence on one platform.

What You’ll Learn

The program explores how to:

• Understand why coding agents forget context, make assumptions, and drift
• Convert unclear feature requests into focused development tasks
• Write specifications and technical decisions before generating code
• Provide agents with relevant context without overloading them
• Design architecture for greenfield, existing, and inherited projects
• Use AI to implement features against an approved plan
• Review generated code before merging it
• Test and verify that a feature works in practice
• Diagnose root causes instead of repeatedly patching symptoms
• Document changes and preserve project knowledge between sessions
• Introduce agentic workflows into large or unfamiliar codebases
• Build custom AI skills for your preferred stack and team processes

The JSM Agentic Engineering Workflow

The course is structured around nine reusable skills covering different stages of development:

Scope and Audit

The /scope skill turns a vague request into a concrete series of smaller tasks. For existing or legacy projects, /audit examines the current codebase before changes are proposed.

This helps the agent work from the software as it actually exists instead of inventing an inaccurate view of its structure.

Architecture and Development

The /architect stage establishes technical direction, boundaries, and decisions before implementation begins. Once those choices are approved, /develop turns the specification into working code.

The developer remains responsible for decisions involving areas such as authentication, data models, providers, and system tradeoffs.

Checking, Testing, and Debugging

The /check and /test stages are designed to prove that the work runs as expected before it is treated as complete.

When something fails, /debug provides a systematic process for locating the underlying cause instead of asking the agent to make unstructured fixes.

Documentation and Synchronization

The /document and /sync skills preserve decisions, update project knowledge, and help teams operate from a shared source of truth rather than separate private AI conversations.

Three Practical Development Scenarios

The training applies its workflow across three situations developers regularly encounter:

• Starting a new project from an empty folder
• Adding a feature to an existing application
• Working inside a large legacy codebase written by someone else

You’ll also learn how the approach can adapt to monorepos, monolithic applications, microservices, web apps, APIs, background jobs, and shared packages.

Course and Workshop Options

The self-paced course includes:

• More than 80 lessons and 10 hours of training
• Practical demonstrations, examples, and quizzes
• Greenfield, existing-project, and legacy-code scenarios
• Access to the Agentic Skills workflow
• Private Discord community access
• Lifetime course updates
• A certificate of completion

The Course + Workshop option adds a two-hour live, over-the-shoulder workshop in which the complete workflow is applied to a real project. It also includes the workshop recording, early access to new lessons, and priority support from Adrian and the JS Mastery team.

Promotional and regional pricing may vary according to location and enrollment period. The official page advertises a seven-day money-back guarantee, so confirm the latest price and terms before purchasing.

Who Is This Program For?

This training may suit:

• Developers already using AI coding assistants
• Junior and mid-level engineers wanting a stronger workflow
• Senior developers introducing AI into team processes
• Freelancers and independent software builders
• Engineers maintaining unfamiliar or legacy systems
• Technical founders building AI-assisted products