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The 10x Engineering Reality: Beyond the Hype to Proven ROI

Event artwork for The 10x Engineering Reality: Beyond the Hype to Proven ROI

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What to expect

Technology leaders face mounting pressure to accelerate delivery while maintaining quality, and AI has emerged as a potential game-changer. But can you really achieve 10x speed without compromising engineering excellence? This virtual webinar from Codurance cuts through the hype to demonstrate how AI-powered engineering delivers measurable ROI when paired with rigorous software craftsmanship.

The session centres on a compelling case study: Codurance's internal rebuild of their corporate timesheet system. What was projected as a 60-day development cycle was completed in just three days using AI assistance—demonstrating that order-of-magnitude acceleration isn't theoretical, it's achievable and repeatable. The team will walk through the mechanics of this transformation, revealing how they maintained production-grade quality while leveraging AI for autonomous implementation.

What You'll Learn

  • Measurable ROI strategies: Unlock projects previously considered too costly or time-consuming by integrating AI effectively into your delivery lifecycle
  • Rapid modernisation techniques: Tackle legacy technical debt at unprecedented speed using AI-assisted software evolution
  • Human-AI collaboration models: Why senior architectural oversight remains essential when AI handles implementation
  • Quality assurance frameworks: Implement local quality-gate pipelines ensuring AI-generated code meets or exceeds human-written standards
  • Best-practice guardrails: Maintain reliable, maintainable automated code through strong type systems, modular architectures, and rigorous testing

The speakers—Lee Sanderson (Principal Software Craftsperson), Sam Griffiths (Principal Consultant), Dominic Wild (Senior Software Craftsperson), and Christina Ripley-Gonzalez (Software Craftsperson)—bring hands-on experience from implementing AI workflows at scale.

Who Should Attend

This webinar is designed for engineering leaders ready to move beyond pilot projects: CTOs, Heads of Engineering, VPs of Engineering, Chief Product and Technology Officers, and Senior Software Engineers looking to integrate AI into core delivery processes. If you're grappling with concerns about architectural drift, security vulnerabilities, or long-term mainta

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