AI Software Development with opencode
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Summary
Unclaimed ProfileThis course centers on opencode, an open-source AI coding agent, positioned as an alternative to closed, cloud-locked commercial AI tools for developers who need data privacy, cost control, and customization. Across 4 live sessions, students build a secure, sandboxed Docker environment, adopt spec-driven (BDD/SDD) workflows to guide AI code generation, implement a custom Git worktree framework for parallel multi-agent development, and fully automate a pipeline from pull request through CI/CD (GitHub Actions or GitLab).
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Program Overview
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Price
Price may change · updated within 1–2 weeks
Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
Best For
- Those wanting self-hosted, private AI tools
- Tech leads and architects
- Senior backend and full-stack developers
- Junior and mid-level developers
Not For
- Those uninterested in DevOps/CI-CD workflows
- People wanting a fully self-paced format
- Those wanting cloud-only, closed AI tools
- Complete beginners to software development
What You'll Learn
- Automating CI/CD pipelines with AI coding agents
- Managing parallel features using Git worktrees
- Writing effective AGENTS.md configuration files
- Applying spec-driven development (BDD/SDD) with AI agents
- Configuring Docker for local AI coding workflows
- Building secure, sandboxed AI development environments
About the creator
Jorge Miralles Fernández
View full profileTechnology & Software Engineering · Spain
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Jorge Miralles Fernández is a Spain-based Software Engineer with 15+ years of experience in full-stack enterprise systems (C#, ASP.NET, Azure) and Machine Learning in Python. Founder of Daktika Technologies SL, a registered EdTech startup running coding bootcamps, he's mentored 200+ students and teaches AI Software Development with opencode, a hands-on Maven course on secure, production-ready AI coding workflows.
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