Tracy Lee and Jerome Hardaway (Vets Who Code) continue their series where they define the six steps of AI adoption. In this episode, they discuss the second step, making and using GPTs and other AI tools to improve your workflow and efficiency, highlighting some specific tools and their impact on common industry tasks.
Jerome provides an example of AI's impact on his resume reviewer for Vets Who Code. With the use of building a GPT and uploading over 10 years of experience into it, AI can analyze an individual's skills and experiences, alongside job requirements, to craft personalized resumes. This automation not only saves time but also ensures that resumes are tailored for specific job applications, ultimately boosting job search effectiveness.
The discussion also extends to the realm of workflow optimization. AI's potential to streamline processes is explored, particularly in tasks like code reviews. Tools like GitHub Copilot can suggest improvements and generate code snippets based on context, freeing up developers to focus on more complex and creative aspects of their work, thereby enhancing overall productivity.
Tracy and Jerome emphasize the importance of structuring tasks effectively within AI interactions to improve accuracy and usefulness. By breaking down complex problems into smaller, manageable tasks, AI becomes a valuable partner, augmenting human capabilities and facilitating more effective problem-solving and learning experiences for developers.
