AI Software Development with opencode

AI Software Development with opencode

ABOUT THE COURSE:

AI Software Development with opencode is a practical course for developers who want to use artificial intelligence in programming without full dependency on cloud services, maintaining control over the code, data, infrastructure, and development process.

About the Course

Modern software development using artificial intelligence is no longer limited to simple chatbot queries. To create reliable, secure, and scalable solutions, it's important to understand how to configure AI tools, isolate environments, manage context, and build the development process based on clear specifications.

In this course, you will learn opencode—an open AI agent for software development. It helps automate code writing, analyze projects, handle tasks, and accelerate functionality creation, while keeping you in control of architecture, security, and workflows.

What You Will Learn

• How to use opencode for AI software development.

• How to build a local and secure development environment.

• How to launch an isolated environment using Docker.

• How to work with AI not through scattered prompts, but through specifications.

• How to apply BDD and SDD in real development tasks.

• How to structure instructions for AI using the AGENTS.md file.

• How to use Git Worktrees for parallel development of multiple features.

• How to mitigate risks when working with an AI agent on the codebase.

Key Topics of the Course

Local AI Development Environment

You will learn to deploy a working environment where an AI agent can assist with development without sending unnecessary data to external services. This approach is especially important for teams working with private code, internal products, or projects with heightened security requirements.

Docker and Environment Isolation

The course shows how to use Docker to create a reproducible and secure environment. Isolation helps test changes, manage dependencies, and minimize the impact of AI experiments on the main development system.

Specification-Driven Development

Instead of chaotic text requests, you will learn the SDD approach—specification-driven development. This allows for more precise requirement formulation, more predictable outcomes from AI, and a reduction in errors during code generation.

Behavior-Driven Development

You will get acquainted with BDD principles and learn how to describe system behavior so that the AI agent better understands business logic, user scenarios, and expected outcomes.

AGENTS.md for Managing the AI Agent

Special attention is given to the AGENTS.md file. You will understand how to set rules, constraints, coding style, architectural principles, and instructions that help opencode work consistently and safely with the project.

Git Worktrees for Parallel Development

You will learn to use Git Worktrees to conduct multiple development directions simultaneously: testing different implementations, isolating tasks, and managing codebase changes more efficiently.

Who This Course Is For

• Developers who want to integrate AI into their daily coding work.

• Backend, frontend, and fullstack engineers interested in AI-assisted development.

• Technical leads evaluating the secure use of AI within a team.

• DevOps specialists working with local and containerized environments.

• Anyone who wants to use AI tools without full reliance on closed cloud platforms.

Practical Outcome

After completing the course, you will be able to set up your own AI development environment with opencode, organize safe agent interaction with the project, describe tasks through specifications, and apply AI to accelerate software development.

You will gain a systematic approach to AI development: from environment preparation and agent operation rules to parallel function implementation and quality control of changes.

Why You Should Learn opencode

opencode helps you transition from random AI usage to a managed development process. Open approach, local setup, working with specifications, and integration with familiar tools make it a valuable solution for developers who value transparency, security, and flexibility.

The course will help you not just try AI in programming, but integrate it into a professional workflow to increase productivity while maintaining engineering control over the result.

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