Agentic coding fundamentals for developers
Learn a tool-agnostic system for applying AI agents in daily development work, with clear context, instructions, and validation loops that reduce risk, tech debt, and confusion.
Built from real-world development experience and designed to stay useful as tools and models change.
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A practical path through agentic coding fundamentals
Each module focuses on evergreen fundamentals so you can build a personal system for working with AI agents across tools, models, and environments.
Understanding agentic coding
How you build a clear mental model of agentic coding before touching workflows or tools.
- What agentic coding is
- What AI agents are
- How agentic coding differs from autocomplete and copilots
- Why focusing on agent guidelines is more important than coding
- How agentic coding changes how you build software
Getting started with agentic coding
How you pick an entry point without tool lock-in or overthinking.
- The AI development tooling landscape
- How to pick your agent of choice (Codex, Claude, Cursor, etc.)
- CLI vs IDE: What fits you
- Local vs cloud agents
- Deciding on models manually
- Running agents in parallel
The agentic coding mindset
How you prepare for the mental shift and risks of agentic coding.
- Preparing yourself for a mental shift
- You will code less and build more
- How agentic coding adoption intimidates seniority
- Your agents are junior hires and need guidance
- Garbage in, garbage out
- Shipping code you didn’t read
- The risk of rapid tech debt
- Deep work in an agentic workflow
Task context, prompts, and execution
How you use the core mechanics that determine whether agents succeed or fail.
- What a task context is
- Understanding task context limitations
- Understanding tokens
- Prompting techniques for optimal context and token usage
- What prompts are (and what they are not)
- Different modes of execution (plan, execute)
- Plan, review, execute, review, compound
- Recursive work and recursive tasks
Building and improving agent instructions
How you systemize experience into reusable agent behavior.
- The importance of agent instructions
- AGENTS.md
- Agent skills (local and public)
- AGENTS.md vs. agent skills: When to use which
- Using agent skills to apply coding principles
- What MCPs are and when they matter
- Adding MCP servers
- Why documenting and storing context is more important than ever
Validation, safety, and feedback loops
How you make agentic coding safe, scalable, and production-ready.
- Preventing tech debt by cleaning up frequently
- Independent code reviews after a task
- Using linters and formatters
- Giving AI eyes
- Build, compile, review warnings and errors: adding AI validation
- Lint, format, test, fix
- Security, privacy, and redaction considerations
Scaling across projects and environments
How you apply agentic coding beyond a single repository or project.
- Creating reusable commands
- Maintaining best practices across multiple projects
- Cross-repository tasks
- The monorepo consideration
- Strategic decisions with agentic coding in mind
- Indicating wasted time and optimizing workflows
- Preparing prompts with prompts
A clear way to learn agentic coding
Designed for experienced developers who want reliable practices they can reuse as tools and models change.
Text-based lessons
Direct explanations, examples, and checklists focused on applying agentic coding in real development work.
Interactive Quizzes
Quick checks to confirm understanding of the core concepts and workflows.
Video Explanations
Short walkthroughs that show how to apply the fundamentals without relying on any specific tool.
Frequently Asked Questions
Is this course suitable for beginners?
Yes. This course is designed as an entry point if you feel overwhelmed by how fast AI moves. You will leave with a clear, repeatable way of working.
What are the prerequisites for this course?
Basic programming knowledge is helpful, but no prior AI experience is required. The course focuses on fundamentals that apply to any development workflow.
How long will I have access to the course materials?
You get lifetime access to all course materials, including future updates and new content.
Can I get a refund if I'm not satisfied?
Yes, we offer a 14-day money-back guarantee. If you're not satisfied, we'll provide a full refund.
Is there a certificate of completion?
Yes, you will receive a certificate of completion after finishing the course.
Does it matter which tools (Codex, Cursor, etc.) I use?
No. The course is tool-agnostic and focuses on fundamentals that apply no matter which agent or editor you prefer.