Upcoming Dates & Locations
- Houston - Thursday, September 3, 2026 | Register for Lab
- Austin - Wednesday, October 7, 2026 | Register for Lab
- Dallas - Wednesday, October 14, 2026 | Register for Lab
Space is strictly limited. Early bird pricing is available when registering at least 30 days early.
Want us to come to your city? Email us at info@codemag.com.
Stop Struggling with AI Adoption
While AI tools are rapidly reshaping software engineering, many teams struggle to integrate them effectively into production workflows. Whether you are architecting a new application or managing a complex legacy codebase, the challenge remains the same: moving beyond simple code generation to achieve measurable gains in productivity, quality, and architectural integrity.
Join CODE staff for an intensive, hands-on lab that cuts through the hype and shows you exactly how to apply AI-augmented workflows across your entire development lifecycle.
Core Pillars for High-Performance AI Engineering
- Greenfield Innovation: Master prompt engineering, context building, and intent specification strategies to use AI as an effective engineering partner without sacrificing code quality.
- Brownfield Modernization: Learn AI-assisted software archeology to uncover outdated patterns, security vulnerabilities, and architectural drift in legacy codebases safely.
- Production Workflows: Integrate AI directly into your development tools and CI/CD pipelines to maximize developer velocity and systematically address technical debt.
Event Overview
- Audience: Built strictly for software architects, software developers, and engineering leaders.
- Format: 100% in-person, high-intensity working sessions featuring live demonstrations, peer collaboration, and direct expert feedback.
- Value: Pick up practical prompt engineering skills, master safe brownfield coding workflows, and leave with a battle-tested framework you can bring straight back to your team.

