CF

Practical Go Development with AI Agents

8h 16m 46s
English
Paid

Practical Go Development with AI Agents is a 2-lesson 8 hours 16 minutes self-paced course by Ardan Labs. Master Practical Development in Go using modern AI agents , engineering techniques, and agentic workflows.

Course facts

Lessons
2
Duration
8 hours 16 minutes
Level
All levels
Language
English
Updated
Instructor
Ardan Labs
Price
Premium

Master Practical Development in Go using modern AI agents, engineering techniques, and agentic workflows. The course will help you progress from simple autocomplete usage to comprehensive work with specifications, context engineering, planning, and code verification using AI.

An intensive 2-day practical course on Go + AI. Each session lasts 4 hours.

June 24 and 25, 2026

Day 1

  • Paradigm Shift: transitioning to agentic workflows and understanding the principles of coding agents.
  • Development Planning: creating technical specifications in a spec.md format.
  • Context Engineering: what and how to communicate to the agent for consistent and accurate responses.
  • Vertical Development and TDD: implementing features from tests to ready code.
  • Result Validation: code validation through tests, logs, and metrics with AI.

Day 2

  • Project Guidelines: creating instructions for developers and agents in AGENTS.md and CLAUDE.md files.
  • Extending AI Capabilities: implementing custom skills and integrating the MCP protocol.
  • Code Review: using agents for verification and analysis (example with roborev).
  • Refactoring and Architecture Improvement: incorporating new features into existing code.

What You Will Learn

Agentic Workflows

You will gain skills in structured planning, working with specifications, and step-by-step feature delivery, going beyond mere AI prompts.

Context Engineering

Learn to provide the agent with relevant data at the right moment, minimizing the risk of hallucinations and increasing the accuracy of responses.

Skills and MCP Integration

Understand how to extend AI capabilities: adding project rules, custom skills, and integrations for solving real development tasks.

Requirements for Participation

Important: Commercial Go development experience of several months is required.

Prepare your environment and install the following before the start:

  • Go 1.24+ SDK
  • Git
  • Coding agent: Claude Code, Codex, Gemini, amp, opencode, or equivalent.

Who teaches Practical Go Development with AI Agents? Ardan Labs

Ardan Labs thumbnail

Ardan Labs is a US training company founded by William Kennedy, focused almost entirely on Go (Golang) and the systems-engineering disciplines around it. Bill Kennedy is one of the most cited Go educators alive — co-author of Go in Action (Manning), maintainer of the Ardan Labs blog, and the lead instructor on a multi-track Go syllabus that runs from beginner through ultimate-Go advanced engineering.

The CourseFlix listing under this source carries nineteen Ardan Labs courses — covering Go language fundamentals, concurrency, advanced engineering patterns, Kubernetes (Bill teaches Go as the implementation language for cloud infrastructure), and the data-engineering / AI tracks Ardan added in recent years. Material is paid and aimed at engineers serious about Go as a career-defining language rather than as a syntax pickup.

What lessons are included in Practical Go Development with AI Agents?

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Frequently asked questions

What prerequisites are needed for this course?
This course assumes you have a foundational understanding of the Go programming language and basic familiarity with AI concepts. Prior experience in software development and an interest in AI-driven development processes will be beneficial for participants.
What projects will I work on during the course?
Participants will engage in hands-on projects such as creating technical specifications in a spec.md format, implementing custom skills with the MCP protocol, and integrating these into existing projects. The exercises focus on transitioning to agentic workflows, extending AI capabilities, and using agents for code review and refactoring.
Who is the target audience for this course?
The course is designed for developers who want to enhance their Go development skills using AI agents. It is particularly suitable for those interested in modern software engineering techniques, including structured planning, context engineering, and integrating AI into development workflows.
How does this course differ from other AI development courses?
This course emphasizes practical development in Go with a focus on agentic workflows and context engineering. Unlike courses that primarily teach AI concepts, this one integrates AI tool usage into the development process, covering both planning and implementation phases, which is ideal for developers seeking to apply AI in real-world scenarios.
What specific tools or platforms will I learn about?
The course covers the use of AI agents for development, including tools for creating specifications (spec.md), code review (roborev), and extending AI capabilities through custom skills using the MCP protocol. These tools are essential for implementing agentic workflows in Go development.
What topics are not covered in this course?
The course does not cover basic Go programming or introductory AI concepts in depth. It focuses on applying existing knowledge of Go and AI to practical development tasks, meaning it is not suited for absolute beginners in these areas.
What is the time commitment for this course?
The course consists of two intensive days, each with a 4-hour session. It is designed to provide a comprehensive overview and hands-on practice within this timeframe, making it suitable for those looking to gain targeted skills in a short period.