1.1 Generative AI for coders1.1.1 Code generation and autocompletion1.1.2 Bug detection and automated fixes1.1.3 Documentation generation1.1.4 Code refactoring and optimization1.1.5 Test case generation and mock data creation1.2 Developer tools landscape1.2.1 Integrated developer tools1.2.2 Standalone tools1.3 How does generative AI work?1.4 What is an LLM, and why should I care?1.5 Why do these tools sometimes get it wrong?1.5.1 How LLMs differ from databases1.5.2 Training phase problems1.5.3 Misinterpreting context1.6 The potential of LLMs1.7 Generative AI vs. code completion1.7.1 Other types of generative AI1.7.2 Why coders care about generative AI1.8 Project workflow with AI assistance1.8.1 Ideation and planning1.8.2 Code generation and assistance1.8.3 Code review and analysis1.8.4 Testing and debugging1.8.5 Documentation and content generation1.9 Choosing the right generative AI tools1.9.1 Data quality and availability1.9.2 Integration with development workflows1.9.3 Quality assurance1.9.4 Keeping up with evolving tools1.9.5 Shift in focus1.10 Don’t fear the rise of AI1.11 Go forth and code!