7 habits of Highly Effective Java Coding

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Seven practical habits for Java developers using AI coding assistants effectively. Covers taking ownership of AI-generated code, providing rich context for better outputs, prioritizing maintainability over cleverness, validating dependencies for security risks, writing meaningful tests beyond coverage metrics, and conducting

30m read timeFrom foojay.io
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Table of contents
From AI User to AI Pro1. The Golden Rule: Take Pride and Ownership in Your Craft2. Feed the Beast: Your Project's Context is its Fuel3. Dodge the "Ball of Mud": Keep Your Code Maintainable4. Clean Your Room: No Stray Code or Sketchy Dependencies5. Trust but review: Analyze the AI, the Code, and the Supply ChainFirst, Analyze Your AI SystemSecond, Analyze the Generated Code: Accuracy, Bugs, Security and Outdated KnowledgeThird, Analyze the Dependencies (The Software Supply Chain)6. Beyond Coverage: Mandate Meaningful Tests7. The Human Gateway: A Code Review for What AI Can't SeeJonathan Vila

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