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S3 E14

From Code to Customer: Unlocking ‘Machine Speed’ Delivery with AI

AI coding tools are accelerating development to “machine speed” – but many organisations still aren’t seeing the value. While more code is being written than ever, getting it into production remains slow, complex, and full of friction.

In this episode of CXO Secrets, David McClelland sits down with Martin Reynolds, Field CTO at Harness, to explore the real bottleneck in software delivery: everything that happens after the code is written. From testing and security to deployment and governance, the “outer loop” is struggling to keep pace.

Martin shares how forward-thinking organisations are rethinking their processes – designing workflows around AI, not just adding it in. The conversation covers how to move from “machine speed in” to “machine speed out,” and why trust, guardrails, and cultural change are essential to making AI work at scale.

🎧 Topics include:

  • Why faster coding isn’t translating into faster delivery
  • The hidden complexity after code is written
  • How to scale AI across the full software lifecycle
  • Building trust and guardrails for AI-driven processes
  • Putting AI into your organisational structure
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Harness

Harness is the AI DevOps Platform™ company, enabling engineering teams to build, test, and deliver software faster and more securely. Powered by Harness AI and the Software Delivery Knowledge Graph, the platform brings intelligent automation to every stage of the software delivery lifecycle after code—removing toil and freeing developers from manual, repetitive work. Companies like United Airlines and Choice Hotels use Harness to accelerate releases by up to 75%, cut cloud costs by 60%, and achieve 10x efficiency across DevOps. Headquartered in San Francisco, Harness is backed by Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.

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Martin Reynolds
Field CTO
Harness

Martin Reynolds, Field CTO at Harness, is a technology leader with over 30 years of experience shaping how organizations build, deliver, and operate software at scale. He specializes in DevOps, DevSecOps, Platform Engineering, and Developer Experience (DevEx), with a growing focus on AI and intelligent automation in software delivery.

A trusted voice in the industry, Martin’s insights have appeared in leading publications such as The New Stack, LeadDev, and other prominent technology outlets. He translates complex trends—such as platform engineering, AI agents in software lifecycles, and continuous delivery at scale—into practical strategies that engineering teams can use right away.

Before joining Harness, Martin led large-scale cloud transformation initiatives. He established and scaled DevOps practices across enterprise environments. Today, he works closely with engineering leaders. He helps them improve developer productivity, boost system resilience, and optimize cost and governance in complex delivery ecosystems.

Martin brings a practitioner’s perspective to topics like internal developer platforms, software delivery automation, and the evolution toward AI-augmented engineering. He helps organizations move beyond tooling. He focuses on building high-performing, developer-centric platforms that enable faster, safer, and more efficient innovation.

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