The best AI coding tools for developers in 2025 (That I actually use)
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What you'll learn
AI Coding Toolkit 2025: Learn the daily-use AI coding tools, with their strengths and weaknesses by scenario.
Workflow: Request → Generate Code → Test → Refactor → Document.
Safety Rules: Limit trust, verify outputs, respect copyright, and protect internal source data.
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Course description
This course distills “AI coding tools that actually work” for 2025 developers. Rather than listing every tool, it shows when to use a chat assistant for drafting or explaining, when to rely on an AI-first IDE for multi-file edits and refactoring, and when to enable auto-test utilities — all aligned with a standard development lifecycle: scaffold → debug via logs → write tests → document. You’ll get a tool-selection framework based on context: personal vs. team projects, source code security requirements, cost, and stability — plus habits for responsible AI use (check logic, track time saved, avoid pasting sensitive data). By the end, you’ll have a lean yet effective workflow that accelerates development while maintaining quality and verifiability.
WHAT'S INCLUDED

