A hands-on track for builders who want to ship real software faster using AI coding tools. Covers tool setup, effective prompting for code, debugging strategies, and when to trust the AI versus when to override it.
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Claude Code, Cursor, and Windsurf solve different problems. Pick the wrong one and you'll fight your tool all day. This step maps each to the right use case.
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A misconfigured AI coding environment is worse than no AI at all. Get your context files, .cursorrules, and Claude Code permissions set up correctly from day one.
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Vague prompts produce code you'll spend hours fixing. Learn the spec-first approach: define inputs, outputs, edge cases, and constraints before writing a single line.
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AI debugging works best when you give it the full error context, not just the stack trace. Learn the rubber-duck-plus-AI method and when to escalate to a human.
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AI code review finds the boring but critical issues: security holes, edge cases, and N+1 queries. Learn how to structure review prompts for maximum signal.
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AI-generated tests are often shallow and tautological. Learn the "property-first" prompting style that produces meaningful coverage instead of coverage theater.
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The final mile — CI/CD hooks, PR descriptions, release notes, and post-deploy monitoring — all benefit from AI assistance. Close the loop on your AI-augmented workflow.