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AI Coding Tools in the Enterprise: A Performance Review
About this webinar
AI coding assistants are becoming an integral part in modern development workflows, but how much do they actually help? In this webinar, we share the findings of a hands-on experiment involving eight developers tackling the same coding task using different AI tools, including GitHub Copilot, Amazon Q, and OpenAI Codex. By evaluating productivity, code quality, and developer experience, we highlight where these tools deliver real value and where they fall short. Whether you're considering AI adoption or looking to optimize your dev team's performance, this session offers grounded, actionable insights based on real-world results.
This webinar is designed for tech leaders, engineering managers, and IT decision-makers who want to understand the practical impact of AI in software development.
Why Attend?
Join us to explore how AI coding tools perform under pressure:
- See real-world performance data: Discover how top AI assistants compare across key metrics in a structured coding challenge.
- Hear the developer perspective: Learn what users liked, what frustrated them, and how each tool fits into actual development workflows.
- Understand what drives—or hinders—productivity: Get a clear picture of how factors like context awareness, IDE integration, and response time influence outcomes
- Make confident, informed choices: Use the findings to choose the right AI assistant for your technology stack, team structure, and delivery goals.
Speakers
