Generative AI Coding Assistants for Developers

This program offers a detailed exploration of AI-powered software development, guiding participants through the latest advancements and practical applications of intelligent coding tools. Tailored for developers, software engineers, and technical leads, it provides the skills to effectively integrate AI coding assistants such as GitHub Copilot, Tabnine, and Amazon Q into real-world projects. You’ll begin by mastering GitHub Copilot, exploring how to supercharge coding with intelligent code suggestions, debugging support, documentation, and collaborative workflows. From personalized completions to advanced integrations in CI/CD pipelines, you’ll gain hands-on expertise in applying Copilot effectively across individual and team development. Next, you’ll dive into Tabnine AI, unlocking context-aware completions, inline actions, and AI-powered chat to boost productivity. You’ll learn how to review, refactor, and document code with AI, while also addressing security and ethical considerations in modern development. Tabnine’s integrations and maintenance capabilities will help you streamline large-scale projects with confidence. The program concludes with Amazon Q for Developers, Amazon’s powerful AI assistant for coding and cloud-based development. You’ll explore setup, configuration, and practical usage of commands like /transform and /dev to generate, refactor, and test code. By comparing Amazon Q with Copilot and Tabnine, you’ll understand their strengths and trade-offs, empowering you to select the right AI tool for diverse workflows. By the end of this program, you will be able to: - Accelerate development with GitHub Copilot for intelligent suggestions, debugging, reviews, and DevOps automation. - Boost productivity with Tabnine AI for context-aware completions, code review, documentation, and secure coding practices. - Harness Amazon Q Developer for inline suggestions, code transformation, testing, and AWS integration. - Collaborate effectively in multi-devel