AI-powered development tools have evolved rapidly from simple code completion to autonomous coding agents. This session examines the current landscape of AI coding assistance across different skill levels and use cases.

We'll explore the spectrum of available tools, from low-code platforms like Loveable that enable non-developers to build applications, to professional coding assistants like GitHub Copilot that augment experienced developers. The talk covers the emerging category of agentic tools, including Copilot's agent mode for autonomous task completion, as well as command-line agents like Claude Code and Gemini CLI, which handle complex development workflows.

We'll also examine cloud-based coding agents, such as Codex, and their capabilities for larger-scale development tasks. Through practical examples and evaluation criteria, attendees will learn how to select appropriate tools for their team's skill level and project requirements.

The session concludes with guidance on implementation strategies, common pitfalls, and realistic expectations for AI-assisted development in professional environments.

Target audience: Developers, technical leads, and engineering managers looking to understand and evaluate AI coding tools for their teams.