Explore how AI is transforming every phase of the software development lifecycle. This course moves past the hype to provide practical, measured guidance on integrating AI into coding, testing, review, and documentation workflows —with an honest look at where it helps and where it doesn’t. Course can be customized for the following tools: GithubCo-Pilot, Claude, Codex, Warp, Cursor.
Applied Applied Workshop
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What you´ll learn |
AI-assisted coding and refactoring: Copilot, Cursor, Warp, Codex and Claude Code in daily workflows —beyond auto-complete into architectural support. Dive into Spec-Driven Development.
Test generation, mutation testing, and AI-driven bug detection: improving coverage without inflating test suites
Automated code review: catching style violations, security issues, and logic errors —and knowing when to override the AI
Documentation generation: API docs, README files, inline comments, and architecture decision records from code context
Productivity measurement, intellectual property considerations, and the evolving role of the developer
Pick the path that matches your team – Read more
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Target audience |
Software Developers, QA Engineers, Tech Leads
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Prerequisites |
Basic software development knowledge